To see the other types of publications on this topic, follow the link: GPS-enabled navigation.
Journal articles on the topic 'GPS-enabled navigation'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'GPS-enabled navigation.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Li, Binghao, Jiahuang Zhang, Andrew G. Dempster, and Chris Rizos. "Open Source GNSS Reference Server for Assisted-Global Navigation Satellite Systems." Journal of Navigation 64, no. 1 (2010): 127–39. http://dx.doi.org/10.1017/s037346331000038x.
Full textAbstract:
Assisted-Global Navigation Satellite Systems (A-GNSS), or Assisted-Global Positioning Systems (A-GPS) in particular, are now commonly accepted as an effective way to reduce the time-to-first-fix (TTFF) in GNSS-unfriendly environments, e.g. in areas of weak GNSS signals. Today's location-based service (LBS) devices such as GPS-enabled mobile phones and personal digital assistants (PDA) rely on A-GPS; however, such commercial devices are equipped with an integrated A-GPS chip that makes customisation very difficult. The Open Source GNSS Reference Server (OSGRS) provided by the University of New South Wales is an open source Java application that can generate the necessary data for A-GPS clients. The GNSS Reference Interface Protocol (GRIP), based on extensible mark-up language (XML), is employed as the OSGRS interface protocol. This paper describes the current status of OSGRS: a client simulator is available open-source; client software which supports four different types of A-GPS-enabled receivers has been developed and used to test OSGRS. The performance of the OSGRS is analysed based on intensive tests. The challenges for OSGRS and future work are also discussed.
2
Alekhya Kodavatiganti. "The Human-Robot Interactive Helmet." World Journal of Advanced Engineering Technology and Sciences 14, no. 1 (2025): 142–49. https://doi.org/10.30574/wjaets.2025.14.1.0011.
Full textAbstract:
The human-robot Interactive helmet (HRI Helmet) project was created to enhance the safety features for cyclists. Advanced technological integration enabled real-time health monitoring, GPS navigation, and emergency communication. Equipped with a Raspberry Pi 4B, pulse sensors, GPS module and the Google Maps API, this helmet can deliver several vital safety features: heart rate tracking, turn-by-turn navigation, and SOS functionality that activates automatically and manually. Although there have been challenges, like setting up the microphones and permission issues with the serial port, the project satisfied the design objectives. Testing at the final stage confirms the reliability of the helmet in health monitoring, navigation support, and emergency communication, with further improvements planned in its performance and usability.
3
Verma, Neeraj, and Kuber Mohan. "GPS Aided GEO Augmented Navigation Enabled Energy Efficient Routing for Mobile Ad-hoc Wireless Networks." Circulation in Computer Science 2, no. 7 (2017): 5–8. http://dx.doi.org/10.22632/ccs-2017-252-35.
Full textAbstract:
Energy is a critical issue in Mobile Ad-hoc Network. Nodes in Network are working in presence of limited or less energy due to dynamic nature of nodes or infrastructure less network. MANET has no infrastructure so nodes in MANET work on dynamic routing. In this way, energy proficient routing is required for reducing energy utilization. Energy proficient routing plans can extraordinarily reduce energy utilization and augments the lifetime of the networks. Scalability of Ad Hoc Networks can be enhanced by using land data, for example, in LAR, GPSR etc. They utilize physical area data; regularly from GPS (Global Positioning System).GPS empowers a gadget to decide their position as in longitude, Latitude and Altitude by getting this data from the satellites. There has been significant effort in proposing energy efficient routing protocols with the help of GAGAN (GPS Aided GEO Augmented Navigation) which have accuracy to approx One meter in India or its neighbor countries. GAGAN is a route framework which is helped by both GPS and nearby telemetry information to possibly give quicker and more exact situating and navigational information.
4
Li, Xin, Jiming Guo, and Lv Zhou. "Performance analysis of BDS/GPS kinematic vehicle positioning in various observation conditions." Sensor Review 36, no. 3 (2016): 249–56. http://dx.doi.org/10.1108/sr-12-2015-0198.
Full textAbstract:
Purpose Global positioning system (GPS) kinematic positioning suffers from performance degradation in constrained environments such as urban canyons, which then restricts the application of high-precision vehicle positioning and navigation within the city. In December 2012, the BeiDou Navigation Satellite System (BDS) regional service was announced, and the combined BDS/GPS kinematic positioning has been enabled in the Asia-Pacific area. Previous studies have mainly focused on the performance evaluations of combined BDS/GPS static positioning. Not much work has been performed for kinematic vehicle positioning under constrained observation conditions. This study aims to analyze the performance of BDS/GPS kinematic vehicle positioning in various conditions. Design/methodology/approach In this study, three vehicle experiments under three observation conditions, an open suburban area, a less dense non-central urban area and a dense central urban area, are investigated using both the code-based differential global navigation satellite system (DGNSS) and phase-based real-time kinematic (RTK) modes. The comparison between combined BDS/GPS and GPS-only vehicle positioning solutions is conducted in terms of positioning availability and positioning precision. Findings Numerical results show that the combined BDS/GPS system significantly outperforms the GPS-only system under poor observation conditions, whereas the improvement was less significant under good observation conditions. Originality/value Thus, this paper studies the performance of combined BDS/GPS kinematic relative positioning under various observation conditions.
5
MATHEWS, MICHAEL B., PETER F. MACDORAN, and KENN L. GOLD. "SCP Enabled Navigation Using Signals of Opportunity in GPS Obstructed Environments." Navigation 58, no. 2 (2011): 91–110. http://dx.doi.org/10.1002/j.2161-4296.2011.tb01794.x.
Full text
6
Wellner, Galit. "No Longer a Phone." Transfers 3, no. 2 (2013): 70–88. http://dx.doi.org/10.3167/trans.2013.030205.
Full textAbstract:
Today's navigation is different, with no paper map or compass. Instead we use a cellphone that has a built-in GPS. Such a cellphone is also equipped with an embedded camera that can read signs in various languages and barcodes that most humans cannot decipher. Combined, the GPS and the camera participate in the production and exercise of augmented reality, where reality is presented with layers of information which are accessible only through technological mediation. Currently such mediation is enabled by the cellphone, thereby providing novel dimensions to our experience of mobility. Consequently it produces innovative ways of navigation and a new sensation of reality.
7
Simsek, Murat, Azzedine Boukerche, Burak Kantarci, Rahman Bitirgen, Muhsin Hancer, and Ismail Bayezit. "Dynamic Artificial Neural Network-Assisted GPS-Less Navigation for IoT-Enabled Drones." IEEE Internet of Things Magazine 7, no. 3 (2024): 92–99. http://dx.doi.org/10.1109/iotm.001.2200276.
Full text
8
Joshi, Amit, Aivars Spilbergs, and Elīna Miķelsone. "AI-ENABLED DRONE AUTONOMOUS NAVIGATION AND DECISION MAKING FOR DEFENCE SECURITY." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 4 (June 22, 2024): 138–43. http://dx.doi.org/10.17770/etr2024vol4.8237.
Full textAbstract:
The combination of Artificial Intelligence (AI) and unmanned aerial vehicles (UAVs), sometimes known as drones, has become a revolutionary approach in modern military and security operations. The purpose of this study is to explore and assess the efficiency of AI-enabled autonomous navigation and decision-making systems for drones in defense security applications. Through a comprehensive literature review, researchers analyze the various AI techniques and algorithms used in these systems, including machine learning, deep learning, and reinforcement learning. The study examines different aspects of autonomous drone navigation, such as sensors, decision-making modules, communication systems, and countermeasure systems. By reviewing scholarly articles and existing studies, researchers gain insights into the hardware and software components, including GPS modules, IMUs, cameras, and other sensors. This analysis provides a clear understanding of the current state of AI-enabled drone technology for defense security and identifies potential areas for future research and improvement. This research study discusses the working of AI-enabled drone autonomous navigation and decision-making systems designed primarily for defense security applications. The study starts by explaining the structure of drone navigation systems, which includes a wide range of hardware and software components. These comprise GPS modules for tracking location, inertial measurement units (IMUs) for estimating attitude, and cameras for seeing the environment. By incorporating these sensors into a sturdy structure, drones are able to detect their surroundings and man oeuvre independently in intricate situations. The effectiveness of AI-enabled drone navigation relies heavily on the application of sophisticated artificial intelligence techniques and algorithms. Machine learning algorithms, such as deep neural networks and reinforcement learning, are crucial in improving the decision-making abilities of drones. AI algorithms allow drones to dynamically adjust their navigation tactics, optimize flight trajectories, and intelligently respond to unforeseen obstacles or hazards by analyzing large volumes of sensor data in real-time. Furthermore, this research explores the datasets being employed in the training and evaluation of AI models for the purpose of drone navigation and decision-making. These datasets contain varied environmental conditions, topographical features, and security scenarios experienced in defensive operations.
9
Sutam, Borwornyot, Dechrit Maneetham, Padma Nyoman Crisnapati, and Petrus Sutyasadi. "The solar panel cleaning robot and real–time asset tracking record control via IOT system." International Journal of Innovative Research and Scientific Studies 8, no. 3 (2025): 594–606. https://doi.org/10.53894/ijirss.v8i3.6578.
Full textAbstract:
This study presents the design and development of an IoT-enabled solar panel cleaning robot aimed at enhancing autonomous maintenance efficiency and enabling real-time asset tracking. The robot’s movement and navigation were analyzed using differential kinematics and static analysis. A microcontroller-based control system with integrated IoT functionality allows remote operation via a web-based interface. Embedded GPS capabilities automatically log real-time location data (latitude and longitude) to Google Sheets for performance monitoring. The robot was tested on a solar panel array measuring 4.8 × 8.72 meters (81.86 m²), completing the cleaning process in 15 minutes. Compass accuracy was evaluated using the Mean Absolute Percentage Error (MAPE) across three movement patterns: Vertical Spiral (168.19), Horizontal (11.31), and Cycle Spiral (44.78), highlighting variations in directional performance. The integration of IoT and GPS with autonomous control provides a practical, scalable solution for efficient solar panel maintenance and location tracking. The robot demonstrates strong potential for real-world application in large-scale solar energy systems. Future enhancements will focus on improving precision navigation using sensor fusion techniques, such as Kalman and Butterworth filters, to increase the accuracy and stability of GPS and compass data under diverse environmental conditions.
10
Baird, William H. "How to make a multi-billion dollar thermometer." Physics Education 57, no. 2 (2021): 025003. http://dx.doi.org/10.1088/1361-6552/ac40a2.
Full textAbstract:
Abstract The United States’ Global Positioning System (GPS), and similar geolocation systems such as Galileo, GLONASS, and Beidou are used by people all over the globe. Modern receivers of these global navigation satellite systems can track multiple satellites from different constellations. Casual, non-technical users are probably aware that the positional information provided is typically accurate to within a few meters. We could expect physics students to infer that, because these systems rely on the travel time of radio signals, this implies time measurement accuracy on the scale of tens of nanoseconds. This feature has led to GPS-enabled Internet time servers providing stratum 1 accuracy for under $1000. In this paper, we will show that we can couple a GPS unit to a field programmable gate array (FPGA) to determine the temperature in a room. The more serious application of this GPS-FPGA pairing is to provide precise time-stamping of events, thereby synchronizing data collection between stations across a room or across the globe.
11
Ma, Hongyang, Qile Zhao, Sandra Verhagen, Dimitrios Psychas, and Xianglin Liu. "Assessing the Performance of Multi-GNSS PPP-RTK in the Local Area." Remote Sensing 12, no. 20 (2020): 3343. http://dx.doi.org/10.3390/rs12203343.
Full textAbstract:
The benefits of an increased number of global navigation satellite systems (GNSS) in space have been confirmed for the robustness and convergence time of standard precise point positioning (PPP) solutions, as well as improved accuracy when (most of) the ambiguities are fixed. Yet, it is still worthwhile to investigate fast and high-precision GNSS parameter estimation to meet user needs. This contribution focuses on integer ambiguity resolution-enabled Precise Point Positioning (PPP-RTK) in the use of the observations from four global navigation systems, i.e., GPS (Global Positioning System), Galileo (European Global Navigation Satellite System), BDS (Chinese BeiDou Navigation Satellite System), and GLONASS (Global’naya Navigatsionnaya Sputnikova Sistema). An undifferenced and uncombined PPP-RTK model is implemented for which the satellite clock and phase bias corrections are computed from the data processing of a group of stations in a network and then provided to users to help them achieve integer ambiguity resolution on a single receiver by calibrating the satellite phase biases. The dataset is recorded in a local area of the GNSS network of the Netherlands, in which 12 stations are regarded as the reference to generate the corresponding corrections and 21 as the users to assess the performance of the multi-GNSS PPP-RTK in both kinematic and static positioning mode. The results show that the root-mean-square (RMS) errors of the ambiguity float solutions can achieve the same accuracy level of the ambiguity fixed solutions after convergence. The combined GNSS cases, on the contrary, reduce the horizontal RMS of GPS alone with 2 cm level to GPS + Galileo/GPS + Galileo + BDS/GPS + Galileo + BDS + GLONASS with 1 cm level. The convergence time benefits from both multi-GNSS and fixing ambiguities, and the performances of the ambiguity fixed solution are comparable to those of the multi-GNSS ambiguity float solutions. For instance, the convergence time of GPS alone ambiguity fixed solutions to achieve 10 cm three-dimensional (3D) positioning accuracy is 39.5 min, while it is 37 min for GPS + Galileo ambiguity float solutions; moreover, with the same criterion, the convergence time of GE ambiguity fixed solutions is 19 min, which is better than GPS + Galileo + BDS + GLONASS ambiguity float solutions with 28.5 min. The experiments indicate that GPS alone occasionally suffers from a wrong fixing problem; however, this problem does not exist in the combined systems. Finally, integer ambiguity resolution is still necessary for multi-GNSS in the case of fast achieving very-high-accuracy positioning, e.g., sub-centimeter level.
12
Durga, Prasad Amballa. "Indoor Navigation for the Visually Impaired Using Haptic Feedback-Enabled Smart Shoes and Beacon-Based Mapping." Journal of Scientific and Engineering Research 6, no. 1 (2019): 255–59. https://doi.org/10.5281/zenodo.12787533.
Full textAbstract:
Building upon the previously developed haptic feedback-enabled smart shoe system for visually impaired navigation, this paper presents an extension of the technology to enable accurate indoor navigation in large public spaces such as museums, airports, and libraries. The key innovation is the integration of a mapping and localization technique that combines beacon-based positioning with inertial sensing to overcome the limitations of GPS in indoor environments. The system creates a virtual map of the indoor space using strategically placed Bluetooth Low Energy (BLE) beacons, which are used to provide absolute position references. The smartphone application generates optimal routes based on the virtual map and user's destination, and provides turn-by-turn instructions to the smart shoes via BLE. Haptic feedback is used to convey navigation cues and proximity alerts to the user. Experimental results demonstrate the system's ability to achieve sub-meter localization accuracy and reliable navigation guidance in complex indoor environments. This technology has the potential to greatly enhance the accessibility and independence of visually impaired individuals in a wide range of public spaces.
13
Jackson, Benjamin M., Ted Polglaze, Brian Dawson, Trish King, and Peter Peeling. "Comparing Global Positioning System and Global Navigation Satellite System Measures of Team-Sport Movements." International Journal of Sports Physiology and Performance 13, no. 8 (2018): 1005–10. http://dx.doi.org/10.1123/ijspp.2017-0529.
Full textAbstract:
Purpose: To compare data from conventional global positioning system (GPS-) and new global navigation satellite system (GNSS-) enabled tracking devices and to examine the interunit reliability of GNSS devices. Methods: Interdevice differences between 10-Hz GPS and GNSS devices were examined during laps (n = 40) of a simulated game circuit and during elite hockey matches (n = 21); GNSS interunit reliability was also examined during laps of the simulated game circuit. Differences in distance values and measures in 3 velocity categories (low <3 m·s−1; moderate 3–5 m·s−1; and high >5 m·s−1) and acceleration/deceleration counts (>1.46 and <−1.46 m·s−2) were examined using 1-way analysis of variance. Interunit GNSS reliability was examined using the coefficient of variation (CV) and intraclass correlation coefficient. Results: Interdevice differences (P < .05) were found for measures of peak deceleration, low-speed distance, percentage of total distance at low speed, and deceleration count during the simulated game circuit and for all measures except total distance and low-speed distance during hockey matches. Interunit (GNSS) differences (P < .05) were not found. The coefficient of variation was below 5% for total distance, average and peak speeds and distance and percentage of total distance of low-speed running. The GNSS devices had a lower horizontal dilution of precision score than GPS devices in all conditions. Conclusions: These findings suggest that GNSS devices may be more sensitive than GPS devices in quantifying the physical demands of team-sport movements, but further study into the accuracy of GNSS devices is required.
14
Puleno, Kennao Vaibhav Saran Munish Mishra S. B. Upadhyay Lav Kesharwani. "EFFICACY OF GPS AS MULTIDISCIPLINARY APPROACH IN FORENSIC SERVICES: A REVIEW." Malaysian Journal of Forensic Sciences 8, no. 2 (2018): 18–23. https://doi.org/10.5281/zenodo.14911901.
Full textAbstract:
The use of Satellite Navigation System (SNS) has become gradually common in current years. The extensive adoption of this technology has the potential to provide a valuable resource in forensic investigations. Global positioning System (GPS) has made major advances on ground and in space where the devices have increasingly contribute evidential importance in the forensic field. The value of collecting evidence from GPS devices has been well established where GPS evidence has played a major role in different crime cases ranging from sex monitoring, forensic archaeology, as well as vehicle tracking to crime mapping. This paper provides a review on how GPS is meticulously being used in various aspects and how the implementation of collection and acquisition of GPS evidence has enabled unsolved case dockets and also helped discover unreported cases. Recommendation for further research by implementation of GPS chip in the evidence package found at the scene of crime could be conducted in the mere future. This would make the forensic process of collection more secure and effective in timely manner. The evidence package could then be monitored about its whereabouts and also provide the integrity to the collected data, thus affecting positively in justice delivery system.
15
Dr. B. Srinivasa Rao, Dr B. Srinivasa Rao, Bobbili Disshaa Bobbili Disshaa, B. Sahithi B. Sahithi, and Alampally Ramya Alampally Ramya. "Advanced Intelligent Navigation System: Redefining Accessibility and Mobility for Visually Impaired Individual." International Journal of Advances in Engineering and Management 7, no. 5 (2025): 165–72. https://doi.org/10.35629/5252-0705165172.
Full textAbstract:
There are many people suffering from vision impairment or related issues. Although there are many assistive technologies to help these individuals, like Guide Dogs, White Canes, GPS enabled applications, etc. but they have few limitations like they are not flexible and are not helpful in real-time navigation. To overcome these drawbacks and help these individuals in their dayto-day life the Advanced Intelligent Navigation System, a smartphone application is designed. The application, developed with Flutter, combines several AI-powered features into an easy-to-use mobile application. The features of this app include object detection and crowd detection using Google API, nearby places discovery and real-time navigation assistance using Google Places and Maps API, using Gemini Vision API for reading text or image and the accelerometer sensors are monitored for detecting fall and alerts the emergency contacts on detecting fall. This application also supports multilingual voice assistance using Gemini API to identify intent and provide the required audio and haptic feedback to the user.
16
Pırtı, Atınç, and M. Ali Yucel. "Evaluating Repeatability of RTK (GPS and Galileo/GPS) performance in the analysis of points located in areas with and without obstructions." Reports on Geodesy and Geoinformatics 113, no. 1 (2022): 11–20. http://dx.doi.org/10.2478/rgg-2022-0002.
Full textAbstract:
Abstract Galileo is Europe’s Global Navigation Satellite System (GNSS), which provides improved positioning and timing data with significant benefits for many European services and users. Galileo enables users to know their exact location with greater precision than other available systems. Access to the Galileo signal in the obstructed and unobstructed environment provides benefits and opportunities for work, thanks to the improved performance and accuracy. The use of a Galileo-enabled receiver increases the number of satellites in view significantly. When compared to the performance of single-constellation receivers, this significantly reduces the time required to obtain a position with centimetre-level accuracy. The results indicate the current Galileo constellation’s suitability for high-precision RTK applications, as well as improved availability, accuracy, reliability, and time-to-fix in the obstructed and unobstructed environments. The results of RTK GPS and RTK GPS/Galileo obtained at different times of the same day by using two reference points were compared. The results of this study illustrate that integrating RTK GPS system with Galileo is favorable for surveying applications (cm accuracy). This study shows that in surveying applications requiring centimetre accuracy, the RTK GPS/Galileo method can replace other survey methods (Total Station).
17
Peterson, Michael P. "Trends in Internet and Ubiquitous Cartography." Cartographic Perspectives, no. 61 (September 1, 2008): 36–49. http://dx.doi.org/10.14714/cp61.213.
Full textAbstract:
The widespread distribution of maps through the Internet is a direct result of the introduction of the World Wide Web in the early 1990s. The mobile Web, enabled through cell phones, is now creating an even more ubiquitous map form. These methods of map distribution facilitate greater access to spatial information, increased levels of interactivity with maps, real-time locational information, and greater integration of multimedia content through pictures, sound, and video. While normally not networked, GPS navigation devices have also changed the map-use landscape. Examined here are the current trends in online- and cell-phone-delivered maps.
18
J Phaneendra Balaji, Para Keerti, Adnan Bin Salam, Guguloth Sindhuja, and MD Adil Hussain. "Iot-Based Smart Wheelchair for Elderly Healthcare Monitoring." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 05 (2025): 2274–82. https://doi.org/10.47392/irjaeh.2025.0335.
Full textAbstract:
This paper presents the development and implementation of an Internet of Things (IoT)-enabled smart wheelchair designed to enhance mobility and independence for individuals with disabilities. By integrating advanced assistive technologies and internet connectivity, the system offers a comprehensive solution that addresses key challenges in wheelchair navigation and user autonomy. The smart wheelchair is equipped with a suite of sensors, including ultrasonic and infrared, to perceive its environment, detect obstacles, and provide real-time feedback to the user. These sensors enable the wheelchair to autonomously adjust its path, ensuring safe navigation in dynamic environments. Additionally, integrated GPS and mapping capabilities facilitate efficient route planning and precise location tracking, further enhancing user confidence and safety. A communication module allows for remote monitoring of the wheelchair's status, battery level, and location, providing caregivers with valuable information and ensuring prompt assistance when needed. This feature not only supports user safety but also promotes proactive care management. The IoT-enabled wheelchair aims to empower users with greater control over their mobility, improve their quality of life, and promote independent living. Looking ahead, future developments may include integration with smart home systems, personalized user profiles for optimized assistance, and the incorporation of advanced health monitoring features to further support users' well-being.
19
Groves, Paul D. "Optimising the Transfer Alignment of Weapon INS." Journal of Navigation 56, no. 2 (2003): 323–35. http://dx.doi.org/10.1017/s0373463303002261.
Full textAbstract:
Transfer alignment is the process of initialising and calibrating a weapon INS using data from the host aircraft's navigation system. To determine which transfer alignment technique performs best, different design options have been assessed, supported by simulation work. The dependence of transfer alignment performance on environmental factors, such as manoeuvres, alignment duration, lever arm and inertial sensor quality has also been studied. ‘Rapid’ alignment, using attitude as well as velocity measurements was found to perform better than ‘conventional’ techniques using only velocity. Innovative developments include the estimation of additional acceleration and gyro states and estimation of force dependent relative orientation, which has enabled robust alignment using wing rock manoeuvres, which do not require the pilot to change trajectory. Transfer alignment has been verified in real-time by flight trials on a Tornado aircraft. In addition, techniques have been developed to prevent transients in the aircraft integrated navigation solution following GPS re-acquisition after an outage of several minutes from disrupting the transfer alignment process.
20
Ruf, Christopher S., Robert Atlas, Paul S. Chang, et al. "New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection." Bulletin of the American Meteorological Society 97, no. 3 (2016): 385–95. http://dx.doi.org/10.1175/bams-d-14-00218.1.
Full textAbstract:
Abstract The Cyclone Global Navigation Satellite System (CYGNSS) is a new NASA earth science mission scheduled to be launched in 2016 that focuses on tropical cyclones (TCs) and tropical convection. The mission’s two primary objectives are the measurement of ocean surface wind speed with sufficient temporal resolution to resolve short-time-scale processes such as the rapid intensification phase of TC development and the ability of the surface measurements to penetrate through the extremely high precipitation rates typically encountered in the TC inner core. The mission’s goal is to support significant improvements in our ability to forecast TC track, intensity, and storm surge through better observations and, ultimately, better understanding of inner-core processes. CYGNSS meets its temporal sampling objective by deploying a constellation of eight satellites. Its ability to see through heavy precipitation is enabled by its operation as a bistatic radar using low-frequency GPS signals. The mission will deploy an eight-spacecraft constellation in a low-inclination (35°) circular orbit to maximize coverage and sampling in the tropics. Each CYGNSS spacecraft carries a four-channel radar receiver that measures GPS navigation signals scattered by the ocean surface. The mission will measure inner-core surface winds with high temporal resolution and spatial coverage, under all precipitating conditions, and over the full dynamic range of TC wind speeds.
21
Chang, Hyun-ho, and Byoung-jo Yoon. "Potentialities of Autonomous Vehicles for Online Monitoring of Motorway Traffic Volume." Journal of Advanced Transportation 2018 (September 6, 2018): 1–12. http://dx.doi.org/10.1155/2018/4276593.
Full textAbstract:
The fact that real-time autonomous vehicle (AV) traffic volume can be collected without a field detector by virtue of advanced global positioning system (GPS) and wireless communication technologies can render a promising solution to online monitoring of traffic volume in the upcoming AV era. To demonstrate this opportunity, this paper proposes a new method to monitor real-time motorway traffic volumes for road locations where no detector is installed using AV traffic volume. The modeling concept is based on the obvious fact that AV traffic volume is a direct portion of total traffic volume. The capabilities of the method are demonstrated through an experimental study using real-world GPS-enabled smartphone vehicle navigation data. The results show that online motorway traffic volume can be effectively monitored throughout the day with 5.69% average error at the 14.91% penetration rate of AVs during the daytime. Therefore, it is expected that AVs can at least be used as complementary means for the role of vehicle detectors in the near future due to the fact that the detection range of AVs is not spatially constrained.
22
Devendran M, Palaniappan P.L, and Shanmuga Priya R. "Zara Tech Trail: Futuristic Autonomous Robocart for Cutting-Edge Multi-Perspective Delivery System." International Journal of Soft Computing and Engineering 14, no. 1 (2024): 9–15. http://dx.doi.org/10.35940/ijsce.d4428.14010324.
Full textAbstract:
The autonomous delivery system presented in this project utilizes a RoboCart equipped with GPS navigation to seamlessly transport products from source to destination. The system, powered by electric charging, ensures timely and secure delivery to end customers, featuring a specialized hand gripper for careful product handling. Designed for diverse applications such as commercial purposes, personal use, and industries including hotels, this fully autonomous cart incorporates a password enabled security feature to guarantee user verification. Positioned as a cutting-edge technological solution, this project aims to effectively address the last mile delivery challenge, presenting a potential to significantly reduce delivery times and contribute to societal benefits. The success of this initiative holds the promise of substantial positive impacts on the Society.
23
Zhang, Pengfei, Rui Tu, Xiaochun Lu, Lihong Fan, and Rui Zhang. "Performance of Multi-GNSS Real-Time UTC(NTSC) Time and Frequency Transfer Service Using Carrier Phase Observations." Remote Sensing 13, no. 20 (2021): 4184. http://dx.doi.org/10.3390/rs13204184.
Full textAbstract:
The technique of carrier phase (CP), based on the global navigation satellite system (GNSS), has proven to be a highly effective spatial tool in the field of time and frequency transfer with sub-nanosecond accuracy. The rapid development of real-time GNSS satellite orbit and clock determinations has enabled GNSS time and frequency transfer using the CP technique to be performed in real-time mode, without any issues associated with latency. In this contribution, we preliminarily built the prototype system of real-time multi-GNSS time and frequency transfer service in National Time Service Center (NTSC) of the Chinese Academy of Sciences (CAS), which undertakes the task to generate, maintains and transmits the national standard of time and frequency UTC(NTSC). The comprehensive assessment of the availability and quality of the service system were provided. First, we assessed the multi-GNSS state space representation (SSR) correction generated in real-time multi-GNSS prototype system by combining broadcast ephemeris through a comparison with the GeoForschungsZentrum (GFZ) final products. The statistical results showed that the orbit precision in three directions was smaller than 6 cm for global positioning system (GPS) and smaller than approximately 10 cm for BeiDou satellite system (BDS). The root mean square (RMS) values of clock differences for GPS were approximately 2.74 and 6.74 ns for the GEO constellation of BDS, 3.24 ns for IGSO, and 1.39 ns for MEO. The addition, the GLObal NAvigation Satellite System (GLONASS) and Galileo satellite navigation system (Galileo) were 4.34 and 1.32 ns, respectively. In order to assess the performance of real-time multi-GNSS time and frequency transfer in a prototype system, the four real-time time transfer links, which used UTC(NTSC) as the reference, were employed to evaluate the performance by comparing with the solution determined using the GFZ final products. The RMS could reach sub-nanosecond accuracy in the two solutions, either in the SSR or GFZ solution, or in GPS, BDS, GLONASS, and Galileo. The frequency stability within 10,000 s was 3.52 × 10−12 for SSR and 3.47 × 10−12 for GFZ and GPS, 3.63 × 10−12 for SSR and 3.53 × 10−12 for GFZ for BDS, 3.57 × 10−12 for SSR and 3.52 × 10−12 for GFZ for GLONASS, and 3.56 × 10−12 for SSR and 3.48 × 10−12 for GFZ for Galileo.
24
Andersen, Hans-Erik, Tobey Clarkin, Ken Winterberger, and Jacob Strunk. "An Accuracy Assessment of Positions Obtained Using Survey- and Recreational-Grade Global Positioning System Receivers across a Range of Forest Conditions within the Tanana Valley of Interior Alaska." Western Journal of Applied Forestry 24, no. 3 (2009): 128–36. http://dx.doi.org/10.1093/wjaf/24.3.128.
Full textAbstract:
Abstract The accuracy of recreational- and survey-grade global positioning system (GPS) receivers was evaluated across a range of forest conditions in the Tanana Valley of interior Alaska. High-accuracy check points, established using high-order instruments and closed-traverse surveying methods, were then used to evaluate the accuracy of positions acquired in different forest types using a recreational-grade GPS unit and a Global Navigation Satellite System (GLONASS)-enabled survey-grade unit, over a range of acquisition and postprocessing alternatives, including distance to base station, or baseline length (0ߝ10, 10ߝ50, 50ߝ100, and >100 km), use of Russian GLONASS satellites, and occupation times (5, 10, and 20 minutes). The accuracy of recreational-grade GPS was 3ߝ7 m across all sites. For survey-grade units, accuracies were influenced by forest type and baseline length, with lower errors observed with more open stands and shorter baseline lengths. The use of GLONASS satellites improved positions by a small but appreciable amount, and longer observation times (20 minutes) resulted in more reliably accurate positions across all sites. In general, these results indicate that if forest inventory plots in interior Alaska and other high-latitude regions of the world are occupied for 20 minutes with survey-grade instruments, positions with submeter error can be consistently obtained across a wide range of conditions.
25
Patil, Dharmaraj. "Mobile Application for EV Charging Station Locator and Real Time Slot Booking." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 223–28. https://doi.org/10.22214/ijraset.2025.69993.
Full textAbstract:
EV Charging Station Locator and Slot Booking System is a web-based application developed to provide electric vehicles (EV owners) with an optimized solution for searching nearby charging stations, verifying real-time availability, and charging slot reservations. With the rapid deployment of EVS, the system addresses the need for efficient infrastructure by providing features such as geolocation-based transmitter search, slot availability, and real-time updates for GPS-enabled navigation. The platform improves user convenience by booking EV owners in advance, reducing wait times, and ensuring a problem-free charging experience. Integrating real data with user design ensures an intuitive experience while simultaneously optimizing the use of charging stations. The system not only benefits EV owners, but also supports efficient management of charging infrastructure and contributes to sustainable transport.
26
Beauchamp, Marla, Renata Kirkwood, Cody Cooper, Matthew Brown, K. Bruce Newbold, and Darren Scott. "Monitoring mobility in older adults using a Global Positioning System (GPS) smartwatch and accelerometer: A validation study." PLOS ONE 18, no. 12 (2023): e0296159. http://dx.doi.org/10.1371/journal.pone.0296159.
Full textAbstract:
There is growing interest in identifying valid and reliable methods for detecting early mobility limitations in aging populations. A multi-sensor approach that combines accelerometry with Global Positioning System (GPS) devices could provide valuable insights into late-life mobility decline; however, this innovative approach requires more investigation. We conducted a series of two experiments with 25 older participants (66.2±8.5 years) to determine the validity of a GPS enabled smartwatch (TicWatch S2 and Pro 3 Ultra GPS) and separate accelerometer (ActiGraph wGT3X-BT) to collect movement, navigation and body posture data relevant to mobility. In experiment 1, participants wore the TicWatchS2 and ActiGraph simultaneously on the wrist for 3 days. In experiment 2, participants wore the TicWatch Pro 2 Ultra GPS on the wrist and ActiGraph on the thigh for 3 days. In both experiments participants also carried a Qstarz data logger for trips outside the home. The TicWatch Pro 3 Ultra GPS performed better than the S2 model and was similar to the Qstarz in all tested trip-related measures, and it was able to estimate both passive and active trip modes. Both models showed similar results to the gold standard Qstarz in life-space-related measures. The TicWatch S2 demonstrated good to excellent overall agreement with the ActiGraph algorithms for the time spent in sedentary and non-sedentary activities, with 84% and 87% agreement rates, respectively. Under controlled conditions, the TicWatch Pro 3 Ultra GPS consistently measured step count in line with the participants’ self-reported data, with a bias of 0.4 steps. The thigh-worn ActiGraph algorithm accurately classified sitting and lying postures (97%) and standing postures (90%). Our multi-sensor approach to monitoring mobility has the potential to capture both accelerometer-derived movement data and trip/life-space data only available through GPS. In this study, we found that the TicWatch models were valid devices for capturing GPS and raw accelerometer data, making them useful tools for assessing real-life mobility in older adults.
27
Hussain, Arif, Arslan Ahmed, Madad Ali Shah, Sunny Katyara, Lukasz Staszewski, and Hina Magsi. "On Mitigating the Effects of Multipath on GNSS Using Environmental Context Detection." Applied Sciences 12, no. 23 (2022): 12389. http://dx.doi.org/10.3390/app122312389.
Full textAbstract:
Accurate, ubiquitous and reliable navigation can make transportation systems (road, rail, air and marine) more efficient, safer and more sustainable by enabling path planning, route optimization and fuel economy optimization. However, accurate navigation in urban contexts has always been a challenging task due to significant chances of signal blockage and multipath and non-line-of-sight (NLOS) signal reception. This paper presents a detailed study on environmental context detection using GNSS signals and its utilization in mitigating multipath effects by devising a context-aware navigation (CAN) algorithm that detects and characterizes the working environment of a GNSS receiver and applies the desired mitigation strategy accordingly. The CAN algorithm utilizes GNSS measurement variables to categorize the environment into standard, degraded and highly degraded classes and then updates the receiver’s tracking-loop parameters based on the inferred environment. This allows the receiver to adaptively mitigate the effects of multipath/NLOS, which inherently depend upon the type of environment. To validate the functionality and potential of the proposed CAN algorithm, a detailed study on the performance of a multi-GNSS receiver in the quad-constellation mode, i.e., GPS, BeiDou, Galileo and GLONASS, is conducted in this research by traversing an instrumented vehicle around an urban city and acquiring respective GNSS signals in different environments. The performance of a CAN-enabled GNSS receiver is compared with a standard receiver using fundamental quality indicators of GNSS. The experimental results show that the proposed CAN algorithm is a good contributor for improving GNSS performance by anticipating the potential degradation and initiating an adaptive mitigation strategy. The CAN-enabled GNSS receiver achieved a lane-level accuracy of less than 2 m for 53% of the total experimental time-slot in a highly degraded environment, which was previously only 32% when not using the proposed CAN.
28
Rai, Ram Kumar, Makhan Singh Karada, Riya Mishra, et al. "Transformative Role of Remote Sensing in Advancing Horticulture: Optimizing Sustainability, Efficiency and Resilience." International Journal of Environment and Climate Change 13, no. 10 (2023): 3559–67. http://dx.doi.org/10.9734/ijecc/2023/v13i103026.
Full textAbstract:
The field of horticulture, vital for addressing global challenges like food security and sustainable agriculture, has been revolutionized by remote sensing technology. This comprehensive review explores the transformative impact of remote sensing on horticulture, emphasizing its role in optimizing resource utilization, promoting environmental sustainability, and mitigating the effects of climate change. Remote sensing, encompassing a range of sensors, satellites, and data analysis techniques, enables the collection of critical information from a distance, providing insights into crop health, soil conditions, water availability, and more. Precision agriculture, including the use of GPS and GIS, is integrated with remote sensing to enhance agricultural efficiency while minimizing environmental impacts. Site-Specific Crop Management (SSCM) is highlighted as a key component of precision agriculture, enabled by geospatial technologies, including remote sensing. It discusses how remote sensing systems, with their multispectral and multi-temporal capabilities, support various horticultural applications such as crop yield estimation, abiotic and biotic stress management, crop classification, canopy measurement, crop area estimation, and even crop insurance validation. The use of Geographic Information Systems (GIS) and the Global Positioning System (GPS) in tandem with remote sensing is explored in the context of spatial analysis, mapping, and precise navigation.
29
Mohammad, Mukhayadi, Karim Abdul, Hasbi Wahyudi, and Permala Rizki. "Designing a constellation for AIS mission based on data acquisition of LAPAN-A2 and LAPAN-A3 satellites." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 4 (2019): 1774–84. https://doi.org/10.12928/TELKOMNIKA.v17i4.12048.
Full textAbstract:
Indonesia requires a maritime surveillance system that's capable to monitor its extensive waters territorial. One of the maritime standard navigation systems named AIS (Automatic Identification System), which is based on GPS and VHF digital communication, have enabled the ship monitoring in a real-time. By placing AIS receiver on the satellite, its coverage will be larger compared to the one usually placed on the seashore by maritime authority. Orbiting the AIS receiver prompted appearing the limitation of Time Division Multiple Access (TDMA) technology so the probability of ship detection would decrease drastically due to a huge number of heard ship signal simultaneously. This paper describes the design of satellite constellation for Indonesian maritime surveillance based on the result of the AIS data acquisition by LAPAN-A2 and LAPAN-A3 satellites that operate in both equatorial and polar orbit.
30
Zhao, Lei, Paul Blunt, Lei Yang, and Sean Ince. "Performance Analysis of Real-Time GPS/Galileo Precise Point Positioning Integrated with Inertial Navigation System." Sensors 23, no. 5 (2023): 2396. http://dx.doi.org/10.3390/s23052396.
Full textAbstract:
The integration of global navigation satellite system (GNSS) precise point positioning (PPP) and inertial navigation system (INS) is widely used in navigation for its robustness and resilience, especially in case of GNSS signal blockage. With GNSS modernization, a variety of PPP models have been developed and studied, which has also led to various PPP/INS integration methods. In this study, we investigated the performance of a real-time GPS/Galileo zero-difference ionosphere-free (IF) PPP/INS integration with the application of uncombined bias products. This uncombined bias correction was independent of PPP modeling on the user side and also enabled carrier phase ambiguity resolution (AR). CNES (Centre National d’Etudes Spatiales) real-time orbit, clock, and uncombined bias products were used. Six positioning modes were evaluated, including PPP, PPP/INS loosely coupled integration (LCI), PPP/INS tightly coupled integration (TCI), and three of these with uncombined bias correction through a train positioning test in an open sky environment and two van positioning tests at a complex road and city center. All of the tests used a tactical-grade inertial measurement unit (IMU). In the train test, we found that ambiguity-float PPP had almost identical performance with LCI and TCI, which reached an accuracy of 8.5, 5.7, and 4.9 cm in the north (N), east (E) and up (U) direction, respectively. After AR, significant improvements on the east error component were achieved, which were 47%, 40%, and 38% for PPP-AR, PPP-AR/INS LCI, and PPP-AR/INS TCI, respectively. In the van tests, frequent signal interruptions due to bridges, vegetation, and city canyons make the IF AR difficult. TCI achieved the highest accuracies, which were 32, 29, and 41 cm for the N/E/U component, respectively, and also effectively eliminated the solution re-convergence in PPP.
31
Principe, Fabio, Giacomo Bacci, Filippo Giannetti, and Marco Luise. "Software-Defined Radio Technologies for GNSS Receivers: A Tutorial Approach to a Simple Design and Implementation." International Journal of Navigation and Observation 2011 (May 26, 2011): 1–27. http://dx.doi.org/10.1155/2011/979815.
Full textAbstract:
The field of satellite navigation has witnessed the advent of a number of new systems and technologies: after the landmark design and development of the Global Positioning System (GPS), a number of new independent Global Navigation Satellite Systems (GNSSs) were or are being developed all over the world: Russia's GLONASS, Europe's GALILEO, and China's BEIDOU-2, to mention a few. In this ever-changing context, the availability of reliable and flexible receivers is becoming a priority for a host of applications, including research, commercial, civil, and military. Flexible means here both easily upgradeable for future needs and/or on-the-fly reprogrammable to adapt to different signal formats. An effective approach to meet these design goals is the software-defined radio (SDR) paradigm. In the last few years, the availability of new processors with high computational power enabled the development of (fully) software receivers whose performance is comparable to or better than that of conventional hardware devices, while providing all the advantages of a flexible and fully configurable architecture. The aim of this tutorial paper is surveying the issue of the general architecture and design rules of a GNSS software receiver, through a comprehensive discussion of some techniques and algorithms, typically applied in simple PC-based receiver implementations.
32
Brčić, David, Renato Filjar, Serdjo Kos, and Marko Valčić. "On Global Ionospheric Maps based winter-time GPS ionospheric delay with reference to the Klobuchar model." Pomorstvo 33, no. 2 (2019): 210–21. http://dx.doi.org/10.31217/p.33.2.11.
Full textAbstract:
Modelling of the ionospheric Total Electron Content (TEC) represents a challenging and demanding task in Global Navigation Satellite Systems (GNSS) positioning performance. In terms of satellite Positioning, Navigation and Timing (PNT), TEC represents a significant cause of the satellite signal ionospheric delay. There are several approaches to TEC estimation. The Standard (Klobuchar) ionospheric delay correction model is the most common model for Global Positioning System (GPS) single-frequency (L1) receivers. The development of International GNSS Service (IGS) Global Ionospheric Maps (GIM) has enabled the insight into global TEC dynamics. GIM analyses in the Northern Adriatic area have shown that, under specific conditions, local ionospheric delay patterns differ from the one defined in the Klobuchar model. This has been the motivation for the presented research, with the aim to develop a rudimentary model of the TEC estimation, with emphasis on areas where ground truth data are not available. The local pattern of the ionospheric delay has been modelled with wave functions based on the similarity of waveforms, considering diurnal differences in TEC behavior from defined TEC patterns. The model represents a spatiotemporal winter-time ionospheric delay correction with the Klobuchar model as a basis. The evaluation results have shown accurate approximation of the local pattern of the ionospheric delay. The model was verified in the same seasonal period in 2007, revealing it successfulness under pre-defined conditions. The presented approach represents a basis for the further work on the local ionospheric delay modelling, considering local ionospheric and space weather conditions, thus improving the satellite positioning performance for single-frequency GNSS receivers.
33
Biro, Dora, Tim Guilford, Giacomo Dell'Omo, and Hans-Peter Lipp. "How the viewing of familiar landscapes prior to release allows pigeons to home faster: evidence from GPS tracking." Journal of Experimental Biology 205, no. 24 (2002): 3833–44. http://dx.doi.org/10.1242/jeb.205.24.3833.
Full textAbstract:
SUMMARYProviding homing pigeons with a 5 min preview of the landscape at familiar sites prior to release reliably improves the birds' subsequent homing speeds. This phenomenon has been taken to suggest that the visual panorama is involved in familiar-site recognition, yet the exact nature of the improvement has never been elucidated. We employed newly developed miniature Global Positioning System (GPS) tracking technology to investigate how access to visual cues prior to release affects pigeons' flight along the length of the homing route. By applying a variety of novel analytical techniques enabled by the high-resolution GPS data (track efficiency, virtual vanishing bearings,orientation threshold), we localised the preview effect to the first 1000 m of the journey. Birds denied preview of a familiar landscape for 5 min before take-off flew an initially more tortuous path, including a high incidence of circling, possibly as part of an information-gathering strategy to determine their position. Beyond the first 1000 m, no differences were found in the performance of birds with or without preview. That the effect of the visual treatment was evident only in the early part of the journey suggests that lack of access to visual cues prior to release does not result in a non-specific effect on behaviour that is maintained throughout the flight. Instead, it seems that at least some decisions regarding the direction of home can be made prior to release and that such decisions are delayed if visual access to the landscape is denied. Overall, the variety of approaches applied here clearly highlight the potential for future applications of GPS tracking technology in navigation studies.
34
Abdullah, A. F., and N. A. Muhadi. "GIS DATA COLLECTION FOR OIL PALM (DaCOP) MOBILE APPLICATION FOR SMART PHONE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-2/W2 (October 19, 2015): 165–68. http://dx.doi.org/10.5194/isprsannals-ii-2-w2-165-2015.
Full textAbstract:
Nowadays, smart phone has become a necessity as it offers more than just making a phone call. Smart phone combines the features of cell phone with other mobile devices such as personal digital assistant (PDA) and GPS navigation unit that propel the popularity of smart phones. In recent years, the interest in mobile communication has been increased. Previous research using mobile application has been successfully done in varies areas of study. Areas of study that have been done are health care, education, and traffic monitoring. Besides, mobile application has also been applied in agricultural sector for various purposes such as plant pest risk management. In this study, mobile application for data collection on Ganoderma disease of oil palm has been successfully developed. The application uses several devices in a smart phone such as GPS, Wifi/ GPRS connection and accelerometer devices. The application can be installed in the smart phone and users can use the application while working on-site. The data can be updated immediately through their smart phones to the service. Besides, the application provides offline map so the user can be productive even though their network connectivity is poor or nonexistent. The data can be synced when the users online again. This paper presents an application that allows users to download features from a sync-enabled ArcGIS Feature Service, view and edit the features even when the devices fail to connect with any network connectivity while collecting data on-site.
35
Kong, Xiangxiong. "Identifying Geomorphological Changes of Coastal Cliffs through Point Cloud Registration from UAV Images." Remote Sensing 13, no. 16 (2021): 3152. http://dx.doi.org/10.3390/rs13163152.
Full textAbstract:
Cliff monitoring is essential to stakeholders for their decision-making in maintaining a healthy coastal environment. Recently, photogrammetry-based technology has shown great successes in cliff monitoring. However, many methods to date require georeferencing efforts by either measuring geographic coordinates of the ground control points (GCPs) or using global navigation satellite system (GNSS)-enabled unmanned aerial vehicles (UAVs), significantly increasing the implementation costs. In this study, we proposed an alternative cliff monitoring methodology that does not rely on any georeferencing efforts but can still yield reliable monitoring results. To this end, we treated 3D point clouds of the cliff from different periods as geometric datasets and further aligned them into the same coordinate system using a rigid registration protocol. We examined the performance of our approach through a few small-scale experiments on a rock sample as well as a full-scale field validation on a coastal cliff. The findings of this study would be particularly valuable for underserved coastal communities, where high-end GPS devices and GIS specialists may not be easily accessible resources.
36
Šugar, Danijel, Željko Bačić, and Iva Dasović. "Geodetic and seismological analysis of the CROPOS ZAGR station kinematics during the Zagreb 2020 ML 5.5 earthquake." Geofizika 38, no. 2 (2022): 191–214. http://dx.doi.org/10.15233/gfz.2021.38.10.
Full textAbstract:
The CROPOS’s ZAGR stations, one of 33 stations of the Croatian permanent GNSS (Global Navigation Satellite System) network CROPOS (Croatian Positioning System), is located in Zagreb’s city centre. For the first time, motion of one of the CROPOS stations (the ZAGR station) during an earthquake shake (the Zagreb 2020 ML5.5) was analysed by the PPK (Post-Processed Kinematic) method using all available GNSS signals (GPS – Global Positioning System, GLONASS – GLObalnaya NAvigatsionnaya Sputnikovaya Sistem, Galileo, Bei-Dou) and seismologically interpreted. The ZAGR station is situated about 9 km to the south-southeast of the earthquake’s epicentre. The analysis showed that the station’s movements, i.e. combined surface and building motion, during the shake was far above the noise level and enabled the assessment of the station’s kinematics: movements in the range of approx. 13 cm in direction north–south (N–S) and approx. 6 cm in direction east–west (E–W). However, movements in the vertical direction were slightly above the noise level. Even though the ZAGR station kinematic behaviour was pronounced, no permanent displacement was identified. The seismological analysis showed that the ZAGR station recorded the onset of the SV-waves on the N–S component, surface waves on the N–S (predominantly Rayleigh waves) and E–W (mainly Love waves) components. The resolution of 1 s of the results of the PPK method have enabled a thorough analysis of the ZAGR station kinematics and pointed out the usefulness of the method in earthquake observations.
37
Hardy, Robert F., Anne B. Meylan, Jennifer A. Gray, and Peter A. Meylan. "Daily, seasonal, and long-distance movements inferred from Fastloc-GPS telemetry of immature green turtles (Chelonia mydas) at a high-latitude, mid-ocean developmental site." PLOS ONE 18, no. 12 (2023): e0292235. http://dx.doi.org/10.1371/journal.pone.0292235.
Full textAbstract:
To characterize the movements and habitat use of juvenile green turtles (Chelonia mydas) in benthic developmental habitat, we deployed Fastloc-GPS-enabled satellite transmitters on 16 individuals captured as part of a multi-decade study of green turtles on the Bermuda Platform. We characterized residence areas, distinct use areas within them, and seasonal movements based on an average of 562 Fastloc-GPS positions and 284 tracking days per turtle. We estimated residence area sizes using traditional home range methods, e.g., 90% utilization distribution (UD) (mean 2.29 ±2.71 km2) and 50% UD (mean 0.54 ±0.69 km2). Total residence area size increased significantly over the 8-year study, from <1 km2 before 2013 to ≥3 km2 in 2018 (R2 = 0.51, F1,14 = 14.55, p = 0.0019), corresponding to a period of decline in seagrass habitat and suggesting increased foraging effort. We identified three types of distinct use areas within residence areas where tracked turtles typically exhibited behavioral fidelity: foraging, resting, and cool weather refugia. These distinct use areas were smaller than high-use areas from previous studies; e.g., seagrass meadow foraging areas averaged 0.05 km2. Most turtles made daily transits between foraging and resting sites; for some individuals, these involved crossing frequently used vessel navigation channels. Seasonal variation in behavior suggested that the overwintering strategy for green turtles on the Bermuda Platform involves “optional dormancy,” during which turtles spent less time on seagrass meadows and made brief excursions to distinct deeper habitats. Four individuals made directed (mean path straightness = 0.93 ±0.02 SD) developmental migrations away from Bermuda toward known adult foraging range. Results of our study further knowledge of the green turtle life cycle at a high-latitude site; they demonstrate that green turtles show fidelity to distinct use areas within developmental habitats over many years and exhibit seasonal movements.
38
Wang, Kan, Ahmed El-Mowafy, Weijin Qin, and Xuhai Yang. "Integrity Monitoring of PPP-RTK Positioning; Part I: GNSS-Based IM Procedure." Remote Sensing 14, no. 1 (2021): 44. http://dx.doi.org/10.3390/rs14010044.
Full textAbstract:
Nowadays, integrity monitoring (IM) is required for diverse safety-related applications using intelligent transport systems (ITS). To ensure high availability for road transport users for in-lane positioning, a sub-meter horizontal protection level (HPL) is expected, which normally requires a much higher horizontal positioning precision of, e.g., a few centimeters. Precise point positioning-real-time kinematic (PPP-RTK) is a positioning method that could achieve high accuracy without long convergence time and strong dependency on nearby infrastructure. As the first part of a series of papers, this contribution proposes an IM strategy for multi-constellation PPP-RTK positioning based on global navigation satellite system (GNSS) signals. It analytically studies the form of the variance-covariance (V-C) matrix of ionosphere interpolation errors for both accuracy and integrity purposes, which considers the processing noise, the ionosphere activities and the network scale. In addition, this contribution analyzes the impacts of diverse factors on the size and convergence of the HPLs, including the user multipath environment, the ionosphere activity, the network scale and the horizontal probability of misleading information (PMI). It is found that the user multipath environment generally has the largest influence on the size of the converged HPLs, while the ionosphere interpolation and the multipath environments have joint impacts on the convergence of the HPL. Making use of 1 Hz data of Global Positioning System (GPS)/Galileo/Beidou Navigation Satellite System (BDS) signals on L1 and L5 frequencies, for small- to mid-scaled networks, under nominal multipath environments and for a horizontal PMI down to 2×10−6, the ambiguity-float HPLs can converge to 1.5 m within or around 50 epochs under quiet to medium ionosphere activities. Under nominal multipath conditions for small- to mid-scaled networks, with the partial ambiguity resolution enabled, the HPLs can converge to 0.3 m within 10 epochs even under active ionosphere activities.
39
Chen, Renjie, and Craig Gotsman. "Efficient fastest-path computations for road maps." Computational Visual Media 7, no. 2 (2021): 267–81. http://dx.doi.org/10.1007/s41095-021-0211-2.
Full textAbstract:
AbstractIn the age of real-time online traffic information and GPS-enabled devices, fastest-path computations between two points in a road network modeled as a directed graph, where each directed edge is weighted by a “travel time” value, are becoming a standard feature of many navigation-related applications. To support this, very efficient computation of these paths in very large road networks is critical. Fastest paths may be computed as minimal-cost paths in a weighted directed graph, but traditional minimal-cost path algorithms based on variants of the classical Dijkstra algorithm do not scale well, as in the worst case they may traverse the entire graph. A common improvement, which can dramatically reduce the number of graph vertices traversed, is the A* algorithm, which requires a good heuristic lower bound on the minimal cost. We introduce a simple, but very effective, heuristic function based on a small number of values assigned to each graph vertex. The values are based on graph separators and are computed efficiently in a preprocessing stage. We present experimental results demonstrating that our heuristic provides estimates of the minimal cost superior to those of other heuristics. Our experiments show that when used in the A* algorithm, this heuristic can reduce the number of vertices traversed by an order of magnitude compared to other heuristics.
40
Sumitha C, Dr. "Development of IOT Based Automated Fire Fighting Drone for Wild Fire Detection and Extinguishing." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48550.
Full textAbstract:
Abstract - Wildfires are a growing environmental concern, causing widespread destruction to forests, wildlife, property, and human lives. Traditional firefighting methods often face challenges such as delayed response time, limited accessibility in remote areas, and risk to human safety. This project aims to develop an IoT-based automated drone system capable of detecting and extinguishing wildfires efficiently and autonomously. The proposed system integrates sensors such as temperature, gas (CO, CO₂), and flame detectors to continuously monitor environmental conditions. These sensors are connected to an IoT-enabled microcontroller that processes data in real-time and communicates with a central control unit via wireless technologies. Upon detecting signs of fire, the drone autonomously navigates to the affected area using GPS and onboard navigation systems. Equipped with a thermal camera and a fire-extinguishing payload (such as flame-retardant balls or liquid dispersers), the drone provides live video feedback and can suppress the fire at its early stage. The system’s automation reduces human intervention, enables rapid response, and allows deployment in inaccessible or high-risk regions. Multiple drones can work collaboratively to cover large forested areas. This project demonstrates the potential of integrating IoT, autonomous aerial vehicles, and intelligent sensor networks in addressing the growing threat of wildfires through early detection and rapid response. Key Words: Drone, Water pump motor, Pipe
41
Samarasinghe, Y. M. P., C. A. K. Dissanayake, and M. M. Herath. "Application of Global Navigation Satellite System (GNSS) Based Mobile Tracking to Improve the Geo-traceability of Mango Supply Chain: A Case Study." Journal of Agricultural Sciences – Sri Lanka 19, no. 1 (2024): 107–17. http://dx.doi.org/10.4038/jas.v19i1.9702.
Full textAbstract:
Purpose: Location tracing of agricultural supply chains is vital to ensure food safety. Mango supply chain in Sri Lanka involves many intermediaries and lacks traceability. GNSS based mobile tracking is a potential technique to assure quality of fresh produce through improved geo-traceability. Therefore, this study aimed to identify the feasibility of mobile tracking to enhance the geo-traceability of ‘Karthakolomban’ mango. Research Method: Supply chains were chosen based on mango collectors in Kurunegala District. Movements of mango were traced by real-time tracking of supply chain actors using the software developed to obtain GPS location of mobile phones. Feasibility for mobile tracking was assessed using, location data, origin, route, speed, unnecessary delays and movements. Findings: Omaragolla mango supply chain was highly dynamic, where most of the actors, routes and origins were varied without pre-planning. Only 67% of considered supply chains were successfully tracked. Rest was unsuccessful due to lack of technical knowhow of supply chain actors and signal failures. Unnecessary movements yielding 13% of additional distance and cost were observed in 25% of the supply chains. Mobile tracking enabled the identification of movements of mango, where it can be used for pre-planning, monitoring of the routes of actors and ultimately to ensure the geo-traceability. Research limitation: Even though geo-traceability improves the traceability of the fruit supply chain, there are other methods to ensure the traceability. Therefore, should be tested separately as well as coupled with the current approach. Originality/value: Findings of the case study can be guided to implement mobile tacking for any fixed fruits and vegetables supply chain to improve the geo-traceability aiming the food safety of the country.
42
Victor, Ayodele Ijaware, Ugochukwu Nzelibe Ifechukwu, and Deji David Micheal. "Accuracy Assessment of Derived Ortho-photo Using Drone-Based Survey." Journal of Environmental Engineering and its Scope 8, no. 2 (2025): 10–28. https://doi.org/10.5281/zenodo.15525589.
Full textAbstract:
<em>The increasing use of Unmanned Aerial Vehicles (UAVs) equipped with Real-Time Kinematic (RTK) Global Navigation Satellite Systems (GNSS) for generating orthophotos has highlighted the need for comprehensive accuracy assessments. This study assesses the accuracy of orthophotos derived using RTK survey drones and compares them with other remote sensing sources. The research focuses on a selected area of Federal University of Technology Akure (FUTA) in Ondo State, Nigeria, and employs a high-resolution RTK-enabled drone, DJI Phantom 4 RTK, to capture images with optimal image overlap. Ground control points (GCPs) are measured using high-precision RTK GPS, and the orthophoto is generated using photogrammetric software. The accuracy of the orthophoto is evaluated by comparing the derived coordinates of the GCPs with the coordinates obtained from the GNSS survey using Root Mean Square Error (RMSE). The results show that the orthophotos derived using RTK survey drones exhibit high horizontal accuracy, with a low Root Mean Square Error (RMSE) of 0.039cm value indicating minimal positional errors while that of other source is 0.216cm. The results indicate that RTK-equipped drones offer substantial improvements in positional accuracy and efficiency, reducing the need for extensive ground control points (GCPs) and post-processing steps. These findings underscore the potential of RTK technology to streamline surveying workflows, particularly in inaccessible or hazardous terrains. The study concludes with recommendations for optimizing RTK drone operations and suggestions for future research directions. The study contributes to the body of knowledge in UAV-based photogrammetry and remote sensing, validating the efficacy of RTK technology in achieving high positional accuracy in orthophotos.</em>
43
Xu, Tianhe, Nazi Wang, Yunqiao He, et al. "GNSS Reflectometry-Based Ocean Altimetry: State of the Art and Future Trends." Remote Sensing 16, no. 10 (2024): 1754. http://dx.doi.org/10.3390/rs16101754.
Full textAbstract:
For the past 20 years, Global Navigation Satellite System reflectometry (GNSS-R) technology has successfully shown its potential for remote sensing of the Earth’s surface, including ocean and land surfaces. It is a multistatic radar that uses the GNSS signals reflected from the Earth’s surface to extract land and ocean characteristics. Because of its numerous advantages such as low cost, multiple signal sources, and all-day/weather and high-spatiotemporal-resolution observations, this new technology has attracted the attention of many researchers. One of its most promising applications is GNSS-R ocean altimetry, which can complement existing techniques such as tide gauging and radar satellite altimetry. Since this technology for ocean altimetry was first proposed in 1993, increasing progress has been made including diverse methods for processing reflected signals (such as GNSS interferometric reflectometry, conventional GNSS-R, and interferometric GNSS-R), different instruments (such as an RHCP antenna with one geodetic receiver, a linearly polarized antenna, and a system of simultaneously used RHCP and LHCP antennas with a dedicated receiver), and different platform applications (such as ground-based, air-borne, or space-borne). The development of multi-mode and multi-frequency GNSS, especially for constructing the Chinese BeiDou Global Navigation Satellite System (BDS-3), has enabled more free signals to be used to further promote GNSS-R applications. The GNSS has evolved from its initial use of GPS L1 and L2 signals to include other GNSS bands and multi-GNSS signals. Using more advanced, multi-frequency, and multi-mode signals will bring new opportunities to develop GNSS-R technology. In this paper, studies of GNSS-R altimetry are reviewed from four perspectives: (1) classifications according to different data processing methods, (2) different platforms, (3) development of different receivers, and (4) our work. We overview the current status of GNSS-R altimetry and describe its fundamental principles, experiments, recent applications to ocean altimetry, and future directions.
44
Rastogi, Namrata. "Healthcare’s new frontier: the digital front door." BMJ Innovations 8, no. 2 (2022): 129–32. http://dx.doi.org/10.1136/bmjinnov-2021-000874.
Full textAbstract:
Primary care has faced long-standing access challenges in the UK National Health Service (NHS) due to an increased demand on services caused by an ageing population, inadequate funding, a shortage of General Practitioners (GPs) and GP trainees and inefficient administrative processes. The pandemic accelerated digital adoption in primary care as policy and reimbursement changes led to new ways of working including telephone triage, video consultations, remote monitoring, online consultations, and text and email communication between clinicians and patients. The agenda has moved to how innovation teams lead digital transformation to drive long term and sustainable benefits in primary care. The digital front door is defined as the channels and framework through which patients access network-wide services in a digitally enabled system. Pillars to this front door include navigation, triage, increased electronic health record (EHR) functionality, shared care records with interoperability, a skilled workforce, key stakeholder engagement and digital inclusion. Out of hospital care has become an integrated community of health, wellness and social care providers. Primary care organisations are presented with a unique opportunity to redesign their access points, to re-evaluate how to navigate and triage users most effectively through their systems, to leverage health data and analytics to derive more insights from the EHR than ever before, and to build a skilled workforce that meets the evolving needs of the community as we move towards a more equitable health system.
45
Amsyafi Putra, Dedy Prayogy, Suryadhi Suryadhi, and Rudi Siap Bintoro. "Implementasi Metode Propotional, Integral, Derifative (PID) Sebagai Kontrol Kapal Autonomous Dengan Sistem Waypoint Untuk Wahana Batimetri." Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi 4, no. 1 (2022): 6–14. http://dx.doi.org/10.38043/telsinas.v4i1.2881.
Full textAbstract:
Indonesia is the world's largest island nation with many islands and more seas than land. Because of the size of the Indonesian sea, oceanographic science is needed. Oceanographic learning involves the study of the underwater depths of the batimetric sciences. Batimetric science is crucial because it studies underwater depth. Batimetric processes in Indonesia today generally employ large vessels with manual control, resulting in the skill required of drivers at risk for obtained track data. With the problem, it has been designed to disrupt the autonomous control system with a pid waypoint system that would provide stable direction for the ship. The control system USES the arduino microcontroller which is used for processing data. The data obtained are data coordinates obtained from the GPS and the ship's navigation data obtained from the compass sensors. The data obtained will be processed and applied to pid methods. Of the pid process can be generated the degree degree required to power the servo motor connected to the ship's rudder. In this research USES four coordinate points of starting point, first goal point, second point of destination, and third point of goal. Once it reaches the third point of destination, the ship will return to its starting point. From the results of the testing done, the result is a kostanta pid score of KP =8, ki =5, kd = 3.5. Tests enabled the system that kept the ship's course steady as it should. So the ship goes on track.
46
Vishwakarma, Divyansh, Rajnish Kumar, Ayushi Upadhyay, Avinash Kumar, Monu Kumar Mandal, and Dr ChandraSekhar M. "Bike E-Catalogue with Web and App Compatibility for Bike Parameters Tracking." International Journal for Research in Applied Science and Engineering Technology 13, no. 1 (2025): 1418–27. https://doi.org/10.22214/ijraset.2025.66562.
Full textAbstract:
Abstract: This research presents a pioneering platform that revolutionizes the biking industry by seamlessly integrating digital cataloguing with IoT-enabled real-time parameter tracking, accessible through web and mobile applications. By addressing critical gaps in the current market, the platform delivers an innovative solution tailored to the evolving needs of bike enthusiasts and owners. The system utilizes React and TypeScript to create an interactive and responsive front-end interface, ensuring crossplatform compatibility and an engaging user experience. On the back end, Java and Python power efficient data processing, secure communication with IoT devices, and scalable server-side operations. Deployment through Netlify provides a robust and reliable infrastructure with high availability and minimal downtime, while Figma-based designs ensure user-centric interfaces that prioritize accessibility, personalization, and ease of navigation. Key features include a dynamic e-catalogue, offering AR-enhanced bike exploration and comparison, and IoT-enabled tracking, which provides real-time insights into bike parameters such as speed, mileage, and battery health. Advanced security features, including GPS tracking and secure Bluetooth pairing, safeguard against theft, while cloud-based synchronization ensures consistent user experiences across devices. This study delves into the technological advancements underpinning the platform, including IoT integration, AR visualization, and modern web development practices. It highlights the platform’s potential to transform bike ownership by streamlining the purchasing process, enhancing maintenance efficiency through predictive insights, and promoting safety through advanced theft prevention mechanisms. Furthermore, the research explores broader implications for the biking industry, such as fostering sustainability by encouraging eco-friendly transportation and driving innovation through data-driven decision-making. Future development opportunities include expanding IoT compatibility, incorporating AI-driven analytics for personalized recommendations, and integrating blockchain-based security for data integrity and trust. By merging cutting-edge technology with user-focused design, this platform establishes a new benchmark for smart biking solutions, promising convenience, safety, and sustainability for users while setting a precedent for innovation in the biking industry
47
Hussein, Mohammed. "A Systematic Review of Information Systems Association with Smart Technology from 3G to 5G." Pidvodni tehnologii 1, no. 14 (2024): 35–47. http://dx.doi.org/10.32347/uwt.2024.14.1202.
Full textAbstract:
The rapid evolution of telecommunications technology from 3G to 5G has profoundly impacted the landscape of smart technology and information systems. This systematic review examines the association between these technologies, focusing on the transformative effects of advancements in telecommunications. We explore the integration of information systems with smart devices, highlighting how each generation of telecommunications technology has enhanced connectivity and enabled more sophisticated applications across various sectors. Key areas of focus include healthcare, transportation, and industrial automation. In healthcare, advancements have facilitated remote patient monitoring, telemedicine, and wearable health devices. In transportation, the evolution from GPS-based navigation to real-time traffic management and autonomous vehicles is discussed. In industrial automation, the role of smart sensors and IoT devices in predictive maintenance and process optimization is analyzed. This review synthesizes existing literature, providing a comprehensive understanding of how the progression from 3G to 5G has driven innovation and efficiency in these fields. Methodologically, we adhered to PRISMA guidelines, conducting a thorough search of academic databases to identify relevant studies. Our findings underscore the significant impact of each telecommunications generation on the development and implementation of smart technology and information systems. The transition to 5G, in particular, represents a transformative leap, offering unprecedented data speeds, ultra-low latency, and massive connectivity. This review concludes by discussing future perspectives and the potential for further advancements in telecommunications to enhance the integration of information systems with smart technology. By providing a detailed overview, this study contributes to the understanding of the dynamic relationship between telecommunications advancements and smart technology development.
48
Vieira, Manuela, Manuel Augusto Vieira, Gonçalo Galvão, et al. "Enhancing Airport Traffic Flow: Intelligent System Based on VLC, Rerouting Techniques, and Adaptive Reward Learning." Sensors 25, no. 9 (2025): 2842. https://doi.org/10.3390/s25092842.
Full textAbstract:
Airports are complex environments where efficient localization and intelligent traffic management are essential for ensuring smooth navigation and operational efficiency for both pedestrians and Autonomous Guided Vehicles (AGVs). This study presents an Artificial Intelligence (AI)-driven airport traffic management system that integrates Visible Light Communication (VLC), rerouting techniques, and adaptive reward mechanisms to optimize traffic flow, reduce congestion, and enhance safety. VLC-enabled luminaires serve as transmission points for location-specific guidance, forming a hybrid mesh network based on tetrachromatic LEDs with On-Off Keying (OOK) modulation and SiC optical receivers. AI agents, driven by Deep Reinforcement Learning (DRL), continuously analyze traffic conditions, apply adaptive rewards to improve decision-making, and dynamically reroute agents to balance traffic loads and avoid bottlenecks. Traffic states are encoded and processed through Q-learning algorithms, enabling intelligent phase activation and responsive control strategies. Simulation results confirm that the proposed system enables more balanced green time allocation, with reductions of up to 43% in vehicle-prioritized phases (e.g., Phase 1 at C1) to accommodate pedestrian flows. These adjustments lead to improved route planning, reduced halting times, and enhanced coordination between AGVs and pedestrian traffic across multiple intersections. Additionally, traffic flow responsiveness is preserved, with critical clearance phases maintaining stability or showing slight increases despite pedestrian prioritization. Simulation results confirm improved route planning, reduced halting times, and enhanced coordination between AGVs and pedestrian flows. The system also enables accurate indoor localization without relying on a Global Positioning System (GPS), supporting seamless movement and operational optimization. By combining VLC, adaptive AI models, and rerouting strategies, the proposed approach contributes to safer, more efficient, and human-centered airport mobility.
49
Gausepohl, Florian, Anne Hennke, Timm Schoening, Kevin Köser, and Jens Greinert. "Scars in the abyss: reconstructing sequence, location and temporal change of the 78 plough tracks of the 1989 DISCOL deep-sea disturbance experiment in the Peru Basin." Biogeosciences 17, no. 6 (2020): 1463–93. http://dx.doi.org/10.5194/bg-17-1463-2020.
Full textAbstract:
Abstract. High-resolution optical and hydro-acoustic sea floor data acquired in 2015 enabled the reconstruction and exact localization of disturbance tracks of a past deep-sea recolonization experiment (DISCOL) that was conducted in 1989 in the Peru Basin during a German environmental impact study associated with manganese-nodule mining. Based on this information, the disturbance level of the experiment regarding the direct plough impact and distribution and redeposition of sediment from the evolving sediment plume was assessed qualitatively. The compilation of all available optical and acoustic data sets available from the DISCOL Experimental Area (DEA) and the derived accurate positions of the different plough marks facilitate the analysis of the sedimentary evolution over the last 26 years for a sub-set of the 78 disturbance tracks. The results highlight the remarkable difference between natural sedimentation in the deep sea and sedimentation of a resettled sediment plume; most of the blanketing of the plough tracks happened through the resettling of plume sediment from plough tracks created later. Generally sediment plumes are seen as one of the important impacts associated with potential Mn-nodule mining. For enabling a better evaluation and interpretation of particularly geochemical and microbiological data, a relative age sequence of single plough marks and groups of them was derived and is presented here. This is important as the thickness of resettled sediment differs distinctly between plough marks created earlier and later. Problems in data processing became eminent for data from the late 1980s, at a time when GPS was just invented and underwater navigation was in an infant stage. However, even today the uncertainties of underwater navigation need to be considered if a variety of acoustical and optical sensors with different resolution should be merged to correlate accurately with the absolute geographic position. In this study, the ship-based bathymetric map was used as the absolute geographic reference layer and a workflow was applied for geo-referencing all the other data sets of the DISCOL Experimental Area until the end of 2015. New high-resolution field data were mainly acquired with sensors attached to GEOMAR's AUV Abyss and the 0.5∘ × 1∘ EM122 multibeam system of RV Sonne during cruise SO242-1. Legacy data from the 1980s and 1990s first needed to be found and compiled before they could be digitized and properly geo-referenced for our joined analyses.
50
Psychas, Dimitrios, Peter J. G. Teunissen, and Sandra Verhagen. "A Multi-Frequency Galileo PPP-RTK Convergence Analysis with an Emphasis on the Role of Frequency Spacing." Remote Sensing 13, no. 16 (2021): 3077. http://dx.doi.org/10.3390/rs13163077.
Full textAbstract:
The single-receiver integer ambiguity resolution-enabled variant of precise point positioning (PPP), namely PPP-RTK, has proven to be crucial in reducing the long convergence time of PPP solutions through the recovery of the integerness of the user-ambiguities. The proliferation of global navigation satellite systems (GNSS) supports various improvements in this regard through the availability of more satellites and frequencies. The increased availability of the Galileo E6 signal from GNSS receivers paves the way for speeding up integer ambiguity resolution, as more frequencies provide for a stronger model. In this contribution, the Galileo-based PPP-RTK ambiguity resolution and positioning convergence capabilities are studied and numerically demonstrated as a function of the number and spacing of frequencies, aiming to shed light on which frequencies should be used to obtain optimal performance. Through a formal analysis, we provide insight into the pivotal role of frequency separation in ambiguity resolution. Using real Galileo data on up to five frequencies and our estimated PPP-RTK corrections, representative kinematic user convergence results with partial ambiguity resolution are presented and discussed. Compared to the achieved performance of dual-frequency fixed solutions, it is found that the contribution of multi-frequency observations is significant and largely driven by frequency separation. When using all five available frequencies, it is shown that the kinematic user can achieve a sub-decimeter level convergence in 15.0 min (90% percentile). In our analysis, we also show to what extent the provision of the estimable satellite code biases as standard PPP-RTK corrections accelerates convergence. Finally, we numerically demonstrate that, when integrated with GPS, the kinematic user solution achieves convergence in 3.0 and 5.0 min on average and at 90%, respectively, in the presence of ionospheric delays, thereby indicating the single-receiver user’s fast-convergence capabilities.