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Relevant bibliographies by topics / GPS-enabled navigation

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Academic literature on the topic 'GPS-enabled navigation'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "GPS-enabled navigation"

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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.

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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

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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.

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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 pro

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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.

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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

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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.

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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 veh

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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.

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Wellner, Galit. "No Longer a Phone." Transfers 3, no. 2 (2013): 70–88. http://dx.doi.org/10.3167/trans.2013.030205.

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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. Conseque

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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.

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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.

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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 aspect

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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.

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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

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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.

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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

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Book chapters on the topic "GPS-enabled navigation"

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Zhou, Yimin, Yaohua Liu, and Jin Hu. "Deep Learning-Enabled Fusion to Bridge GPS Outages for INS/GPS Integrated Navigation." In Navigation: Science and Technology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6199-9_2.

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Bilal, Muhammad Tabish, and Davide Giglio. "GeTUP: An Internet of Things-Based Navigation System Architecture for High-Level Route Planning." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85578-8_34.

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Abstract Modern drivers equipped with GPS-enabled devices digest traffic information and work as traffic information providers. Driving experiences and fuel consumption are also shared in novel systems to help users’ route choices. Navigators in special terrain cities like Genova, Italy achieve sub-optimal results when they reroute the traffic greedily towards light-congested roads inducing new traffic jams. Furthermore, the absence of user preferences and advanced profiling curtail the competency of navigators to provide need-based responses to their users. This article aims to present a deliverable for Green MaaS for an adaptive urban planning project Liguria region in Italy to fill the gaps present in current navigators suggesting more optimal routing solutions considering the user requirements. The GeTUP application provides a specific pertinent and germane service equipped with an interface that is competent to acclimate to the characteristics of its users. The logical navigation algorithm is based on automated self-learning internet-of-things-based architecture that works on user choices to generate high-level route information. On receiving the request, the server executes the search algorithm based on the provided origin, destination and percentage of desired high-level information required based on the user profiling. The results are based on both the real-time traffic rhythm and near-future traffic distribution estimates based on the rerouting decisions. GeTUP application is implemented as a pilot MaaS solution for the city of Genova. The real-time data obtained upon evaluation revealed that the application contributes actively to coordinating the traffic based on user decisions and preferences between different alternatives and alleviates congestion situations.

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Armeni Iro and Chorianopoulos Konstantinos. "Pedestrian navigation and shortest path: Preference versus distance." In Ambient Intelligence and Smart Environments. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-286-8-647.

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Contemporary digital maps provide an option for pedestrian navigation, but they do not account for subjective preferences in the calculation of the shortest path, which is usually provided in terms of absolute distance. For this purpose, we performed a controlled experiment with local pedestrians, who were asked to navigate from point A to point B in a fast manner. The pedestrians' routes were recorded by means of a GPS device and then plotted on a map for comparison with suggested itinerary from a digital map. We found that the preferred shortest path is significantly different to the suggested one. Notably, the preffered paths were slightly longer than the suggested, but there was no effect in the trip duration because there were fewer obstacles, such as cars. Since many pedestrians employ GPS enabled devices, the findings of this research inform the development of mobile applications and the design of new subjective map layers for city dwellers.

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Lakshmi, T. V. Hyma, C. Gnana Kousalya, Ragini Mishra, and Tilak Babu. "Deep Learning-Powered IoT Solutions for Real-Time Environment Perception and Navigation in Autonomous Vehicles With NLP Features." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-0442-7.ch013.

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Current development of IoT-connected vehicle networks is progressing at a very fast rate which has enabled traffic management and use of autonomous cars. In this paper, research questions developed out of the use of Sensor Data Fusion, Feature Importance Techniques, and Deep Learning Algorithms are used to improve Traffic Flow Optimization and also increasing the efficiency of Autonomous driving. Data collected from LiDAR sensor, GPS, video display frame and other environment sensors are integrated to present a uniform high accuracy data. By applying the approach of Random Forest Feature Importance and SHAP (SHapley Additive exPlanations), such input-driving factors as speed, density of vehicles, and climate conditions that have the greatest impact on the model are selected to minimize the computational load. In the case of traffic flow, Long Short-Term Memory (LSTM) networks consider temporal dependencies for predictive modelling and decision making and Convolutional Neural Networks (CNNs) applies features from traffic cameras.

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Conference papers on the topic "GPS-enabled navigation"

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Vardhan, Marrapu Vasanth, Tadepalli hasitha Sowmya, Perumalla Yamini Priya, Shaik Nafeez Wahab, B. V. Satish Babu, and D. Bharadwaja. "GPS-Independent Indoor Navigation-Enabled Autonomous Wheeled Robot with Obstacle Avoidance." In 2025 3rd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT). IEEE, 2025. https://doi.org/10.1109/dicct64131.2025.10986396.

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Progri, Ilir F. "Wireless-enabled GPS indoor geolocation system." In 2010 IEEE/ION Position, Location and Navigation Symposium - PLANS 2010. IEEE, 2010. http://dx.doi.org/10.1109/plans.2010.5507256.

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Terry W Griffin. "Whole-Farm Benefits of GPS-Enabled Navigation Technologies." In 2009 Reno, Nevada, June 21 - June 24, 2009. American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.27020.

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Liu, X., M. Stone, Y. Memarzadeh, et al. "Integer Ambiguity Resolution Enabled RTK and PPP Solutions Using GPS and GLONASS Observations." In 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016). Institute of Navigation, 2016. http://dx.doi.org/10.33012/2016.14790.

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Pirazzi, Gabriele, Augusto Mazzoni, Ludovico Biagi, and Mattia Crespi. "Preliminary Performance Analysis with a GPS+Galileo Enabled Chipset Embedded in a Smartphone." In 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017). Institute of Navigation, 2017. http://dx.doi.org/10.33012/2017.15260.

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Parkinson, Bradford, and Chris Bartone. "Enhancements Enabled by Multi-Element Antennas for GPS Anti-jamming Capabilities in Civil Applications." In 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023). Institute of Navigation, 2023. http://dx.doi.org/10.33012/2023.19368.

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Mebust, Aaron. "Enabling PNT Assurance at all Threat Levels." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3664.

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<title>ABSTRACT</title> <p>Global Positioning System (GPS) technology has become absolutely indispensable to today’s warfighter. GPS signals provide Positioning, Navigation, and Timing (PNT) data that are needed by virtually every critical military system. Digital radio networks require precise time to operate. Direct and indirect fires systems need precise coordinates to accurately determine firing data. Individual soldiers and vehicles need positioning and navigation data to coordinate offensive and defensive maneuver. Battle management systems require the location of every

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Steele, John P. H., Qi Han, Hamad Karki, et al. "Development of an Oil and Gas Refinery Inspection Robot." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36358.

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Oil and gas refineries present challenging environments in which to work and operate, especially in places like the Middle East where temperatures can reach 50 °C and sand storms which can reduce visibility to a few meters. In addition, there can be gas or steam leaks which present health and safety hazards to the workers. At present, continuous operation of these plants requires that human workers venture out into these conditions in order to observe and report on the conditions within the plant. The goal of this work is to design, fabricate, assemble, and test an inspection robot in an effor

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Jayasundara, D. R. T., M. K. B. D. Kularatne, K. G. A. U. Samarakoon, and C. L. Jayawardena. "A Statistical analysis of urban location data obtained from smartphones for disaster response." In International Symposium on Earth Resources Management & Environment - ISERME 2024. Division of Sustainable Resources Engineering, Hokkaido University, Japan, 2024. https://doi.org/10.31705/iserme.2024.39.

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Technological advancements in device hardware and application software platforms have enabled smart phones to be used for multiple purposes as an all-in-one hand-held device. Its readily availability among majority of individuals, ease of use as a compact unit with access to remote storage and capacity to communicate makes it a perfect tool for emergency response specially with reference to disaster management provided having sufficient reception. Nevertheless, its embedded location services facility which communicates with the GNSS not only facilitates navigation, location sharing etc. but al

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Sawandi, H., and A. Jayasinghe. "Real-time tracking data and machine learning approach for assessing pedestrian walking patterns – impact of spatial dynamics at the University of Moratuwa." In Transport Research Forum 2024. Transportation Engineering Group, Department of Civil Engineering, University of Moratuwa, 2024. https://doi.org/10.31705/trf.2024.10.

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Understanding the key elements that affect pedestrian walking patterns is vital for enhancing transportation systems in urban environments. This experimental study tackles important gaps in current literature, especially the insufficient examination of walking behavior concerning land use characteristics and spatiotemporal factors. By focusing on walking patterns in connection to these aspects, this study intends to provide insights that can help improve urban transportation planning and policy. This study employs real-time tracking data and machine learning to evaluate the intricate dynamics

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Reports on the topic "GPS-enabled navigation"

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Ray, Laura, Madeleine Jordan, Steven Arcone, et al. Velocity field in the McMurdo shear zone from annual ground penetrating radar imaging and crevasse matching. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42623.

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The McMurdo shear zone (MSZ) is strip of heavily crevassed ice oriented in the south-north direction and moving northward. Previous airborne surveys revealed a chaotic crevasse structure superimposed on a set of expected crevasse orientations at 45 degrees to the south-north flow (due to shear stress mechanisms). The dynamics that produced this chaotic structure are poorly understood. Our purpose is to present our field methodology and provide field data that will enable validation of models of the MSZ evolution, and here, we present a method for deriving a local velocity field from ground pen

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