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Thematische Bibliographien / Indoor positional navigation / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Indoor positional navigation“

Autor: Grafiati

Veröffentlicht am 29. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Subhash Reddy, S., and Y. Bhaskar Rao. "Indoor Navigation System for Blind People Using VLC." International Journal of Engineering & Technology 7, no. 3.27 (2018): 77. http://dx.doi.org/10.14419/ijet.v7i3.27.17659.

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We propose an indoor navigation system that utilizes visible light communication technology, which employs LED lights and a geomagnetic correction method, aimed at supporting visually impaired people who travel indoors. To verify the effectiveness of this system, we conducted an experiment targeting visually impaired people. Although acquiring accurate positional information and detecting directions indoors is difficult, we confirmed that using this system, accurate positional information and travel direction can be obtained utilizing visible light communication technology, which employs LED l

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Firdaus, Ahmad Riyad, Andreas Hutagalung, Agus Syahputra, and Riska Analia. "Indoor Localization Using Positional Tracking Feature of Stereo Camera on Quadcopter." Electronics 12, no. 2 (2023): 406. http://dx.doi.org/10.3390/electronics12020406.

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During the maneuvering of most unmanned aerial vehicles (UAVs), the GPS is one of the sensors used for navigation. However, this kind of sensor cannot handle indoor navigation applications well. Using a camera might be the answer to performing indoor navigation using its coordinate system. In this study, we considered indoor navigation applications using the ZED2 stereo camera for the quadcopter. To use the ZED 2 camera as a navigation sensor, we first transformed its coordinates into the North, East, down (NED) system to enable the drone to understand its position and maintain stability in a

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Irshad, Liu, Arshad, et al. "A Novel Localization Technique Using Luminous Flux." Applied Sciences 9, no. 23 (2019): 5027. http://dx.doi.org/10.3390/app9235027.

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As global navigation satellite system (GNNS) signals are unable to enter indoor spaces, substitute methods such as indoor localization-based visible light communication (VLC) are gaining the attention of researchers. In this paper, the systematic investigation of a VLC channel is performed for both direct and indirect line of sight (LoS) by utilizing the impulse response of indoor optical wireless channels. In order to examine the localization scenario, two light-emitting diode (LED) grid patterns are used. The received signal strength (RSS) is observed based on the positional dilution of prec

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Vieira, M. A., M. Vieira, V. Silva, P. Louro, L. Mateus, and P. Vieira. "Indoor positioning using a-SiC:H technology." MRS Advances 1, no. 55 (2016): 3685–90. http://dx.doi.org/10.1557/adv.2016.381.

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ABSTRACTThe nonlinear property of SiC multilayer devices under Ultra Violet (UV) irradiation is used to design an optical processor for indoor positioning. The transducers combine the simultaneous demultiplexing operation with the photodetection and self-amplification. Moreover, we present a way to achieve indoor positioning using the parity bits and the navigation syndrome. A 4 bit representation with the original string colour message and the transmitted 7 bit string, the encoding and decoding accurate positional information processes and the design of SiC navigation syndrome generators are

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Rajchowski, Piotr, Jacek Stefanski, Jaroslaw Sadowski, and Krzysztof K. Cwalina. "Person Tracking in Ultra-Wide Band Hybrid Localization System Using Reduced Number of Reference Nodes." Sensors 20, no. 7 (2020): 1984. http://dx.doi.org/10.3390/s20071984.

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In this article a novel method of positional data integration in an indoor hybrid localization system combining inertial navigation with radio distance measurements is presented. A point of interest is the situation when the positional data and the radio distance measurements are obtained from less than thee reference nodes and it is impossible to unambiguously localize the moving person due to undetermined set of positional equations. The presented method allows to continuously provide localization service even in areas with disturbed propagation of the radio signals. Authors performed simula

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Elamin, Ahmed, Ahmed El-Rabbany, and Sunil Jacob. "Event-Based Visual/Inertial Odometry for UAV Indoor Navigation." Sensors 25, no. 1 (2024): 61. https://doi.org/10.3390/s25010061.

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Indoor navigation is becoming increasingly essential for multiple applications. It is complex and challenging due to dynamic scenes, limited space, and, more importantly, the unavailability of global navigation satellite system (GNSS) signals. Recently, new sensors have emerged, namely event cameras, which show great potential for indoor navigation due to their high dynamic range and low latency. In this study, an event-based visual–inertial odometry approach is proposed, emphasizing adaptive event accumulation and selective keyframe updates to reduce computational overhead. The proposed appro

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Kozmus Trajkovski, Klemen, Tilen Urbančič, Bojan Stopar, and Dejan Grigillo. "Photogrammetric traverse for indoor positioning." Geodetski vestnik 69, no. 02 (2025): 148–79. https://doi.org/10.15292/geodetski-vestnik.2025.02.148-179.

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The article presents the use of photogrammetric traverses for image orientation and the acquisition of mass spatial data in environments where GNSS (Global Navigation Satellite Systems) or tachymetric surveys are not available or not reliable, such as inside buildings. The photogrammetric traverses were tested indoors. The basic idea of a photogrammetric traverse is to start from an area where the positions of the ground control points are surveyed and then use a still camera to develop a traverse of overlapping images. The images are then processed with SfM (Structure from Motion) to calculat

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Kobayashi, Hiroyuki. "Indoor Positioning Scheme Using Off-the-Shelf Lighting Fixtures’ Fingerprints." Journal of Robotics and Mechatronics 35, no. 3 (2023): 780–87. http://dx.doi.org/10.20965/jrm.2023.p0780.

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This paper discusses an indoor positioning technique aimed at human-centric services such as pedestrian navigation or service robots. The method is called “CEPHEID” and uses a light flickering pattern as an environmental fingerprint. The authors found that each lighting fixture has unique and distinguishable flickering characteristics. In this paper, CEPHEID is introduced as a “classifier” and its validity is shown based on experimental results. Additionally, an approach for improving the positional precision is proposed. The classifier and regressor are combined to create a zone-classified re

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Antonopoulos, Angelos, Michail G. Lagoudakis, and Panagiotis Partsinevelos. "A ROS Multi-Tier UAV Localization Module Based on GNSS, Inertial and Visual-Depth Data." Drones 6, no. 6 (2022): 135. http://dx.doi.org/10.3390/drones6060135.

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Uncrewed aerial vehicles (UAVs) are continuously gaining popularity in a wide spectrum of applications, while their positioning and navigation most often relies on Global Navigation Satellite Systems (GNSS). However, numerous conditions and practices require UAV operation in GNSS-denied environments, including confined spaces, urban canyons, vegetated areas and indoor places. For the purposes of this study, an integrated UAV navigation system was designed and implemented which utilizes GNSS, visual, depth and inertial data to provide real-time localization. The implementation is built as a pac

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Turnip, Arjon, Muhamad Arsyad Faridhan, Bambang Mukti Wibawa, and Nursanti Anggriani. "Autonomous Medical Robot Trajectory Planning with Local Planner Time Elastic Band Algorithm." Electronics 14, no. 1 (2025): 183. https://doi.org/10.3390/electronics14010183.

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Robots have made significant contributions across various industries due to their efficiency and effectiveness. However, indoor navigation remains challenging due to complex environments and sensor signal interference. Changes in indoor conditions and the limited range of GPS signals necessitate the development of an accurate and efficient indoor robot navigation system. This study aims to create an autonomous indoor navigation system for medical robots using sensors such as Marvelmind, LiDAR, IMU, and an odometer, along with the Time Elastic Band (TEB) local planning algorithm to detect dynam

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Оробченко, С. В., А. В. Павловский, М. М. Зайнутдинов, К. В. Кочка, Н. И. Петухов, and Р. С. Куликов. "Development of a design methodology for the placement of referenceradio navigation points of a local navigation system using ultra-wideband signals." Vestnik of Russian New University. Series «Complex systems: models, analysis, management», no. 2 (June 28, 2024): 76–91. http://dx.doi.org/10.18137/rnu.v9187.24.02.p.76.

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Развитие техники приводит к появлению и распространению на практике локальных навигационных систем для получения координат потребителя внутри помещений, где сигналы глобальных навигационных спутниковых систем отсутствуют. В качестве наиболее перспективных и быстроразвивающихся систем на данный момент можно выделить локальные навигационные системы, реализующие позиционный метод навигации. Особенностью данных систем является необходимость развёртывания и поддержания инфраструктуры радионавигационных опорных точек. В случае навигации внутри помещения наличие непрозрачных для радионавигационных си

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Barco Alvárez, Javier, Juan Carlos Torres Zafra, Juan Sebastián Betancourt, Máximo Morales Cespedes, and Carlos Iván del Valle Morales. "Navigating in Light: Precise Indoor Positioning Using Trilateration and Angular Diversity in a Semi-Spherical Photodiode Array with Visible Light Communication." Electronics 13, no. 18 (2024): 3597. http://dx.doi.org/10.3390/electronics13183597.

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This research presents a detailed methodology for indoor positioning using visible light communication (VLC) technology, focusing on overcoming the limitations of traditional satellite-based navigation systems. The system is based on an optical positioning framework that integrates trilateration techniques with a semi-spherical array of photodiodes, designed to enhance both positional accuracy and orientation estimation. The system effectively estimates the receiver’s position and orientation with high precision by utilizing multiple white-light-emitting diodes (LEDs) as transmitters and lever

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Mahapatra, Tanmaya, Nikolaos Tsiamitros, Anton Moritz Rohr, Kailashnath K, and Georgios Pipelidis. "Pedestrian Augmented Reality Navigator." Sensors 23, no. 4 (2023): 1816. http://dx.doi.org/10.3390/s23041816.

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Navigation is often regarded as one of the most-exciting use cases for Augmented Reality (AR). Current AR Head-Mounted Displays (HMDs) are rather bulky and cumbersome to use and, therefore, do not offer a satisfactory user experience for the mass market yet. However, the latest-generation smartphones offer AR capabilities out of the box, with sometimes even pre-installed apps. Apple’s framework ARKit is available on iOS devices, free to use for developers. Android similarly features a counterpart, ARCore. Both systems work well for small spatially confined applications, but lack global positio

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Irsyadi, Fakih, Jans Hendry, Joko Slamet Saputro, Aji Bambang Sasongko, and Muhammad Harrys Gumay. "Improved Indoor Localization Mechanism for Automated Guided Robots Using Bluetooth Beacons." Journal of Electrical, Electronic, Information, and Communication Technology 7, no. 1 (2025): 34. https://doi.org/10.20961/jeeict.7.1.100928.

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<p>Robot localization is essential for successful navigation, particularly in indoor environments where Global Positioning System (GPS) devices are ineffective. Bluetooth Low Energy (BLE) beacons provide a promising solution by transmitting 2.4GHz signals that can be interpreted by nearby robots. The trilateration method, utilizing Received Signal Strength Indicator (RSSI) values from BLE beacons at predefined locations, enables position estimation. However, RSSI values are highly susceptible to fluctuations and environmental interference, leading to significant errors. This research add

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dos Santos, D. R., F. P. Freiman, and N. L. Pavan. "GLOBAL REFINEMENT OF TERRESTRIAL LASER SCANNER DATA REGISTRATION USING WEIGHTED SENSOR POSES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 121–25. http://dx.doi.org/10.5194/isprs-archives-xlii-1-121-2018.

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<p><strong>Abstract.</strong> Terrestrial laser scanner (TLS) sensor captures highly dense and accurate point clouds quite useful for indoor and outdoor mapping, navigation, 3D reconstruction, surveillance, industrial projects, infrastructure management, and others. In this paper, we present a global registration method that weights the sensor poses for refinement of TLS data registration. Our global refinement method assumes that the variance-covariance matrix that describes the uncertainty of sensor poses is available to refine the registration errors. The effectiveness of

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Wu, Yingfeng, Weiwei Zhao, and Jifa Zhang. "Methodology for Large-Scale Camera Positioning to Enable Intelligent Self-Configuration." Sensors 22, no. 15 (2022): 5806. http://dx.doi.org/10.3390/s22155806.

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The development of a self-configuring method for efficiently locating moving targets indoors could enable extraordinary advances in the control of industrial automatic production equipment. Being interactively connected, cameras that constitute a network represent a promising visual system for wireless positioning, with the ultimate goal of replacing or enhancing conventional sensors. Developing a highly efficient algorithm for collaborating cameras in the network is of particular interest. This paper presents an intelligent positioning system, which is capable of integrating visual informatio

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Chi, Xiaoni, Qinyuan Meng, Qiuxuan Wu, et al. "A Laser Data Compensation Algorithm Based on Indoor Depth Map Enhancement." Electronics 12, no. 12 (2023): 2716. http://dx.doi.org/10.3390/electronics12122716.

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The field of mobile robotics has seen significant growth regarding the use of indoor laser mapping technology, but most two-dimensional Light Detection and Ranging (2D LiDAR) can only scan a plane of fixed height, and it is difficult to obtain the information of objects below the fixed height, so inaccurate environmental mapping and navigation mis-collision problems easily occur. Although three-dimensional (3D) LiDAR is also gradually applied, it is less used in indoor mapping because it is more expensive and requires a large amount of memory and computation. Therefore, a laser data compensati

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R., Muthukumar, Dharsan M., Alex A., Kaviya K., and Kirthick Saran T. "Face Tracking Mini Drone." Journal of Information Technology and Digital World 7, no. 2 (2025): 189–99. https://doi.org/10.36548/jitdw.2025.2.008.

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The drone, also known as an unmanned aerial vehicle (UAV), is rapidly advanced in automation and autonomy with the use of computer vision technology. The design and deployment of a small, vision-based face tracking mini drone that is suitable for internal settings are presented in this study. The ESP32-CAM module, which acts as a camera and processing unit, is the central component of the system. It uses a Haar cascade classifier to detect faces in real time without the need for GPS chips or external processing. After processing the observed face coordinates, the respective flight command is g

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Li, Nan, Feng Zhou, Kaiwen Yao, Xinli Hu, and Rugang Wang. "Multisensor Fusion SLAM Research Based on Improved RBPF-SLAM Algorithm." Journal of Sensors 2023 (October 9, 2023): 1–11. http://dx.doi.org/10.1155/2023/3100646.

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Simultaneous localization and map construction (SLAM) technology provides the foundation for indoor robots to realize autonomous path planning. The Rao-Blackwellized particle filtering (RBPF) algorithm is widely used to obtain information and perform map construction in unknown environments. This paper proposes a multisensor fusion algorithm that improves the RBPF-SLAM algorithm by addressing the issues of particle distribution errors and degradation. To achieve this, the extended Kalman filter (EKF) is first adopted to effectively fuse odometry and inertial navigation (inertial measurement un

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Adlou, Bahman, Christopher Wilburn, and Wendi Weimar. "Motion Capture Technologies for Athletic Performance Enhancement and Injury Risk Assessment: A Review for Multi-Sport Organizations." Sensors 25, no. 14 (2025): 4384. https://doi.org/10.3390/s25144384.

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Background: Motion capture (MoCap) technologies have transformed athlete monitoring, yet athletic departments face complex decisions when selecting systems for multiple sports. Methods: We conducted a narrative review of peer-reviewed studies (2015–2025) examining optical marker-based, inertial measurement unit (IMU) systems, including Global Navigation Satellite System (GNSS)-integrated systems, and markerless computer vision systems. Studies were evaluated for validated accuracy metrics across indoor court, aquatic, and outdoor field environments. Results: Optical systems maintain sub-millim

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Pileggi, Chiara, Florin Catalin Grec, and Ludovico Biagi. "5G Positioning: An Analysis of Early Datasets." Sensors 23, no. 22 (2023): 9222. http://dx.doi.org/10.3390/s23229222.

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Global Navigation Satellite Systems (GNSSs) are nowadays the prevailing technology for positioning and navigation. However, with the roll-out of 5G technology, there is a shift towards ‘hybrid positioning’: indeed, 5G time-of-arrival (ToA) measurements can provide additional ranging for positioning, especially in environments where few GNSS satellites are visible. This work reports a preliminary analysis, the processing, and the results of field measurements collected as part of the GINTO5G project funded by ESA’s EGEP programme. The data used in this project were shared by the European Space

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Kamalam, G. K., Shubham Joshi, Manish Maheshwari, et al. "Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques." Journal of Healthcare Engineering 2022 (April 7, 2022): 1–10. http://dx.doi.org/10.1155/2022/1083978.

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People have always relied on some form of instrument to assist them to get to their destination, from hand-drawn maps and compasses to technology-based navigation systems. Many individuals these days have a smartphone with them at all times, making it a common part of their routine. Using GPS technology, these cellphones offer applications such as Google Maps that let people find their way around the outside world. Indoor navigation, on the other hand, does not offer the same level of precision. The development of indoor navigation systems is continuously ongoing. Bluetooth, Wi-Fi, RFID, and c

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Jansen, Wouter, Dennis Laurijssen, and Jan Steckel. "Real-Time Sonar Fusion for Layered Navigation Controller." Sensors 22, no. 9 (2022): 3109. http://dx.doi.org/10.3390/s22093109.

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Navigation in varied and dynamic indoor environments remains a complex task for autonomous mobile platforms. Especially when conditions worsen, typical sensor modalities may fail to operate optimally and subsequently provide inapt input for safe navigation control. In this study, we present an approach for the navigation of a dynamic indoor environment with a mobile platform with a single or several sonar sensors using a layered control system. These sensors can operate in conditions such as rain, fog, dust, or dirt. The different control layers, such as collision avoidance and corridor follow

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Acar, Ugur. "IMU and Bluetooth Data Fusion to Achieve Submeter Position Accuracy in Indoor Positioning." Photogrammetric Engineering & Remote Sensing 89, no. 12 (2023): 735–40. http://dx.doi.org/10.14358/pers.23-00034r2.

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Indoor navigation applications have become widespread in recent years with the ability of mobile phones which determine the position. Due to the inefficiency of global positioning system (GPS) indoors, other positioning methods have been developed based on local networks using technologies such as Bluetooth, wireless networks, ultra-wideband signals, ultrasonic signals, and radio frequency identification modules. Various technologies yield high or medium accuracy. Combining data from multiple sources via fusion enhances location precision. In this study, indoor positions were estimated using t

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Sithole, George, and Sisi Zlatanova. "POSITION, LOCATION, PLACE AND AREA: AN INDOOR PERSPECTIVE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4 (June 3, 2016): 89–96. http://dx.doi.org/10.5194/isprsannals-iii-4-89-2016.

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Over the last decade, harnessing the commercial potential of smart mobile devices in indoor environments has spurred interest in indoor mapping and navigation. Users experience indoor environments differently. For this reason navigational models have to be designed to adapt to a user’s personality, and to reflect as many cognitive maps as possible. This paper presents an extension of a previously proposed framework. In this extension the notion of placement is accounted for, thereby enabling one aspect of the ‘personalised indoor experience’. In the paper, firstly referential expressions are u

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Sithole, George, and Sisi Zlatanova. "POSITION, LOCATION, PLACE AND AREA: AN INDOOR PERSPECTIVE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4 (June 3, 2016): 89–96. http://dx.doi.org/10.5194/isprs-annals-iii-4-89-2016.

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Over the last decade, harnessing the commercial potential of smart mobile devices in indoor environments has spurred interest in indoor mapping and navigation. Users experience indoor environments differently. For this reason navigational models have to be designed to adapt to a user’s personality, and to reflect as many cognitive maps as possible. This paper presents an extension of a previously proposed framework. In this extension the notion of placement is accounted for, thereby enabling one aspect of the ‘personalised indoor experience’. In the paper, firstly referential expressions are u

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Garcia-Fernandez, Miquel, Isaac Hoyas-Ester, Alex Lopez-Cruces, Malgorzata Siutkowska, and Xavier Banqué-Casanovas. "Accuracy in WiFi Access Point Position Estimation Using Round Trip Time." Sensors 21, no. 11 (2021): 3828. http://dx.doi.org/10.3390/s21113828.

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WiFi Round Trip Time (RTT) unlocks meter level accuracies in user terminal positions where no other navigation systems, such as Global Navigation Satellite Systems (GNSS), are able to (e.g., indoors). However, little has been done so far to obtain a scalable and automated system that computes the position of the WiFi Access Points (WAP) using RTT and that is able to estimate, in addition to the position, the hardware biases that offset the WiFi ranging measurements. These biases have a direct impact on the ultimate position accuracy of the terminals. This work proposes a method in which the co

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Zhou, Qi, and YuanJian Tian. "Spatial-temporal Evolution and Completeness Analysis of OpenStreetMap Building Data in China from 2012 to 2017." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-436-2019.

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<p><strong>Abstract.</strong> OpenStreetMap (OSM), as a typical volunteered geographic information project, is an online map with free content and everyone can edit and use it (Goodchild 2007). A range of applications has been proposed using OSM data, including routing and navigation, crisis mapping, 3D modelling, land use/cover mapping. This is because the OSM data is not only free of use, but also has a global coverage and high currentness. In despite of the above advantages, however, most of the OSM data were contributed by ‘non-professional’ or ‘amateur geographers’ (Good

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Lasini, Wickramasinghe, and B. Dissanayake Maheshi. "Smartphone Based Indoor Position Estimation." Journal of Innovation Sciences and Sustainable Technologies 2, no. 2 (2022): 99–106. https://doi.org/10.0608/JISST.2022522969.

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Positioning or location estimation systems are adopted widely in modern world, to locate objects or users. Current broadly adopted positioning sys- tems such as global positioning system (GPS) or global navigation satellite system (GNSS) are limited to outdoor applications and provide poor locating accuracy for indoor positing with short movement span. Through this study we aim to evaluate the possibility of utilizing received signal strength indicator (RSSI) value of a smartphone antenna with the com- bination of trilateration theory and feed-forward back-propagation neural network (FFBPNN) t

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Schelkshorn, S., and J. Detlefsen. "Position finding using simple Doppler sensors." Advances in Radio Science 5 (June 12, 2007): 153–56. http://dx.doi.org/10.5194/ars-5-153-2007.

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Abstract. An increasing number of modern applications and services is based on the knowledge of the users actual position. Depending on the application a rough position estimate is sufficient, e. g. services in cellular networks that use the information about the users actual cell. Other applications, e. g. navigation systems use the GPS-System for accurate position finding. Beyond these outdoor applications a growing number of indoor applications requires position information. The previously mentioned methods for position finding (mobile cell, GPS) are not usable for these indoor applications

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Kee, Changdon, Doohee Yun, and Haeyoung Jun. "Precise calibration method of pseudolite positions in indoor navigation systems." Computers & Mathematics with Applications 46, no. 10-11 (2003): 1711–24. http://dx.doi.org/10.1016/s0898-1221(03)90205-7.

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Jamil, Faisal, and DoHyeun Kim. "Enhanced Kalman filter algorithm using fuzzy inference for improving position estimation in indoor navigation." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 8991–9005. http://dx.doi.org/10.3233/jifs-201352.

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In recent few years, the widespread applications of indoor navigation have compelled the research community to propose novel solutions for detecting objects position in the Indoor environment. Various approaches have been proposed and implemented concerning the indoor positioning systems. This study propose an fuzzy inference based Kalman filter to improve the position estimation in indoor navigation. The presented system is based on FIS based Kalman filter aiming at predicting the actual sensor readings from the available noisy sensor measurements. The proposed approach has two main component

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Akgül, Batur Alp, Bülent HAZNEDAR, Abdurrahman YAŞAR, and Mustafa Ersan ÇİNKILIÇ. "A INDOOR POSITION ROUTING (IPR) AND DATA MONITOR USING BLUETOOTH LOW ENERGY TECHNOLOGY (iBEACON-BLE): AN IMPLEMENTATION STUDY." ICONTECH INTERNATIONAL JOURNAL 5, no. 1 (2021): 38–61. http://dx.doi.org/10.46291/icontechvol5iss1pp38-61.

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Rapid advancements in mobile industry have emerged new technological ideas and applications for researchers by allowing smart devices over the last decade. In recent years, the need for Indoor Position Routing (IPR) and Location-Based Advertisements (LBA) systems are increasingly common, IPR and LBA systems have been becoming very popular. Nowadays, it has become possible to create software and hardware applications for IPR and LBA in indoor environments, thanks to developments of different technologies. The development of the system should be based on low-cost technology, it should be suitabl

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Jeong, Jae-Hoon, and Kiwon Park. "Numerical Analysis of 2-D Positioned, Indoor, Fuzzy-Logic, Autonomous Navigation System Based on Chromaticity and Frequency-Component Analysis of LED Light." Sensors 21, no. 13 (2021): 4345. http://dx.doi.org/10.3390/s21134345.

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Topics concerning autonomous navigation, especially those related to positioning systems, have recently attracted increased research attention. The commonly available global positioning system (GPS) is unable to determine the positions of vehicles in GPS-shaded regions. To address this concern, this paper presents a fuzzy-logic system capable of determining the position of a moving robot in a GPS-shaded indoor environment by analyzing the chromaticity and frequency-component ratio of LED lights installed under the ceiling. The proposed system’s performance was analyzed by performing a MATLAB s

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Fan, Qigao, Yaheng Wu, Jing Hui, Lei Wu, Zhenzhong Yu, and Lijuan Zhou. "Integrated Navigation Fusion Strategy of INS/UWB for Indoor Carrier Attitude Angle and Position Synchronous Tracking." Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/215303.

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In some GPS failure conditions, positioning for mobile target is difficult. This paper proposed a new method based on INS/UWB for attitude angle and position synchronous tracking of indoor carrier. Firstly, error model of INS/UWB integrated system is built, including error equation of INS and UWB. And combined filtering model of INS/UWB is researched. Simulation results show that the two subsystems are complementary. Secondly, integrated navigation data fusion strategy of INS/UWB based on Kalman filtering theory is proposed. Simulation results show that FAKF method is better than the conventio

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Geng, Junzuo, Amir Ali Mokhtarzadeh, Hongyan Fei, et al. "Robot positioning and navigation technology is based on Integration of the Global Navigation Satellite System and real-time kinematics." Journal of Physics: Conference Series 2467, no. 1 (2023): 012027. http://dx.doi.org/10.1088/1742-6596/2467/1/012027.

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Abstract This paper provides a new robot positioning and navigation technique that combines GNSS-RTK and visual SLAM to address the shortcomings of existing single robot positioning and navigation techniques, such as limited adaptation to scenarios and susceptibility to environmental influences. Real-time kinematics (RTK) is a real-time dynamic observation technique based on carrier phase observations, which can provide real-time 3D positioning results of the measurement site in a specified coordinate system, and can be positioned with centimetre-level accuracy, which is suitable for It is sui

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Alam, Shamsul, Farhan Mohamed, and Bellal Hossain. "Integrating Recurrent Neural Networks and Loss Function Optimization for Efficient Indoor Camera Positioning." Computer Science Journal of Moldova 33, no. 1(97) (2025): 68–90. https://doi.org/10.56415/csjm.v33.04.

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Camera position is essential for many applications, such as monitoring, tracking, and recognizing individuals. This study proposed an integrated design that combines recurrent neural networks (RNNs) and a loss function modification approach to improve the accuracy of indoor camera location. RNNs enable the system to generate accurate estimations based on previous information by extracting temporal dependencies and patterns from the camera information. We optimized the loss function to enhance the indoor camera position's overall performance and convergence speed. This combination technique all

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Jamil, Faisal, Naeem Iqbal, Shabir Ahmad, and Do-Hyeun Kim. "Toward Accurate Position Estimation Using Learning to Prediction Algorithm in Indoor Navigation." Sensors 20, no. 16 (2020): 4410. http://dx.doi.org/10.3390/s20164410.

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Internet of Things is advancing, and the augmented role of smart navigation in automating processes is at its vanguard. Smart navigation and location tracking systems are finding increasing use in the area of the mission-critical indoor scenario, logistics, medicine, and security. A demanding emerging area is an Indoor Localization due to the increased fascination towards location-based services. Numerous inertial assessments unit-based indoor localization mechanisms have been suggested in this regard. However, these methods have many shortcomings pertaining to accuracy and consistency. In thi

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Neto, Benedito S. R., Tiago D. O. Araújo, Bianchi S. Meiguins, and Carlos G. R. Santos. "Tape-Shaped, Multiscale, and Continuous-Readable Fiducial Marker for Indoor Navigation and Localization Systems." Sensors 24, no. 14 (2024): 4605. http://dx.doi.org/10.3390/s24144605.

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The present study proposes a fiducial marker for location systems that uses computer vision. The marker employs a set of tape-shaped markers that facilitate their positioning in the environment, allowing continuous reading to cover the entire perimeter of the environment and making it possible to minimize interruptions in the location service. Because the marker is present throughout the perimeter of the environment, it presents hierarchical coding patterns that allow it to be robust against multiple detection scales. We implemented an application to help the user generate the markers with a f

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Nakagawa, M., K. Akano, T. Kobayashi, and Y. Sekiguchi. "RELATIVE PANORAMIC CAMERA POSITION ESTIMATION FOR IMAGE-BASED VIRTUAL REALITY NETWORKS IN INDOOR ENVIRONMENTS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W4 (September 14, 2017): 349–54. http://dx.doi.org/10.5194/isprs-annals-iv-2-w4-349-2017.

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Image-based virtual reality (VR) is a virtual space generated with panoramic images projected onto a primitive model. In imagebased VR, realistic VR scenes can be generated with lower rendering cost, and network data can be described as relationships among VR scenes. The camera network data are generated manually or by an automated procedure using camera position and rotation data. When panoramic images are acquired in indoor environments, network data should be generated without Global Navigation Satellite Systems (GNSS) positioning data. Thus, we focused on image-based VR generation using a

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Deng, Zhi-An, Guofeng Wang, Ying Hu, and Yang Cui. "Carrying Position Independent User Heading Estimation for Indoor Pedestrian Navigation with Smartphones." Sensors 16, no. 5 (2016): 677. http://dx.doi.org/10.3390/s16050677.

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Anbarasu, B., and G. Anitha. "Vision-based Position estimation and Indoor scene recognition algorithm for Quadrotor Navigation." Journal of Physics: Conference Series 1969, no. 1 (2021): 012001. http://dx.doi.org/10.1088/1742-6596/1969/1/012001.

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Melo, Leonimer Flávio de, João Mauricio Rosário, and Almiro Franco da Silveira Junior. "Mobile Robot Indoor Autonomous Navigation with Position Estimation Using RF Signal Triangulation." Positioning 04, no. 01 (2013): 20–35. http://dx.doi.org/10.4236/pos.2013.41004.

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Unlersen, Muhammed Fahri. "ABC-ANN Based Indoor Position Estimation Using Preprocessed RSSI." Electronics 11, no. 23 (2022): 4054. http://dx.doi.org/10.3390/electronics11234054.

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The widespread use of mobile devices has popularized the idea of indoor navigation. The Wi-Fi fingerprint method is emerging as an important alternative indoor positioning method for GPS usage difficulties. This study utilizes RSSI signals with three preprocessed states (raw, preprocessed with the path loss adapted, and exponential transformed) to train and test an artificial neural network (ANN). A systematic approach to the determination of neuron numbers in the hidden layers and activation functions of ANN is provided. The ANN is trained by the artificial bee colony algorithm. Five ML metho

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Sugiura, Akihiko, and Takuya Shoji. "A Pedestrian Navigation System Using Cellular Phone Video-Conferencing Functions." International Journal of Vehicular Technology 2012 (December 31, 2012): 1–8. http://dx.doi.org/10.1155/2012/945365.

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A user’s position-specific field has been developed using the Global Positioning System (GPS) technology. To determine the position using cellular phones, a device was developed, in which a pedestrian navigation unit carries the GPS. However, GPS cannot specify a position in a subterranean environment or indoors, which is beyond the reach of transmitted signals. In addition, the position-specification precision of GPS, that is, its resolution, is on the order of several meters, which is deemed insufficient for pedestrians. In this study, we proposed and evaluated a technique for locating a use

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Wang, Chuang, Li Xing, and Xiaowei Tu. "A Novel Position and Orientation Sensor for Indoor Navigation Based on Linear CCDs." Sensors 20, no. 3 (2020): 748. http://dx.doi.org/10.3390/s20030748.

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The position and orientation of a mobile agent, such as robot or drone, etc., should be estimated in a timely way during operation in the structured indoor environment, so as to ensure the security and efficiency of task execution. Concerning the problem that the position and orientation are often estimated separately by different kinds of sensors in the off-the-shelf methods, we design a novel position orientation sensor (POS). The POS consists of four pairs of linear charge-coupled devices (CCDs) and cylindrical lenses, which can estimate the 3D coordinate of the anchor in the POS’s field of

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Laoudias, Christos, Artyom Nikitin, Panagiotis Karras, Moustafa Youssef, and Demetrios Zeinalipour-Yazti. "Indoor Quality-of-position Visual Assessment Using Crowdsourced Fingerprint Maps." ACM Transactions on Spatial Algorithms and Systems 7, no. 2 (2021): 1–32. http://dx.doi.org/10.1145/3433026.

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Internet-based Indoor Navigation (IIN) architectures organize signals collected by crowdsourcers in Fingerprint Maps (FMs) to improve localization given that satellite-based technologies do not operate accurately in indoor spaces where people spend 80%–90% of their time. In this article, we study the Quality-of-Position (QoP) assessment problem, which aims to assess in an offline manner the localization accuracy that can be obtained by a user that aims to localize using a FM. Particularly, our proposed ACCES framework uses a generic interpolation method using Gaussian Processes (GP), upon whic

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Park, JeeWoong, Yong K. Cho, and Diego Martinez. "A BIM and UWB integrated Mobile Robot Navigation System for Indoor Position Tracking Applications." Journal of Construction Engineering and Project Management 6, no. 2 (2016): 30–39. http://dx.doi.org/10.6106/jcepm.2016.6.2.030.

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Koh, Kyoung C., Jae S. Kim, and Hyung S. Cho. "A position estimation system for mobile robots using a monocular image of a 3-D landmark." Robotica 12, no. 5 (1994): 431–41. http://dx.doi.org/10.1017/s0263574700017987.

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SUMMARYThis paper presents an absolute position estimation system for a mobile robot moving on a flat surface. In this system, a 3-D landmark with four coplanar points and a non-coplanar point is utilized to improve the accuracy of position estimation and to guide the robot during navigation. Applying theoretical analysis, we investigate the image sensitivity of the proposed 3-D landmark compared with the conventional 2-D landmark. In the camera calibration stage of the experiments, we employ a neural network as a computational tool. The neural network is trained from a set of learning data co

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Guo, Ying, Qinghua Liu, Xianlei Ji, Shengli Wang, Mingyang Feng, and Yuxi Sun. "Multimode Pedestrian Dead Reckoning Gait Detection Algorithm Based on Identification of Pedestrian Phone Carrying Position." Mobile Information Systems 2019 (October 31, 2019): 1–14. http://dx.doi.org/10.1155/2019/4709501.

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Pedestrian dead reckoning (PDR) is an essential technology for positioning and navigation in complex indoor environments. In the process of PDR positioning and navigation using mobile phones, gait information acquired by inertial sensors under various carrying positions differs from noise contained in the heading information, resulting in excessive gait detection deviation and greatly reducing the positioning accuracy of PDR. Using data from mobile phone accelerometer and gyroscope signals, this paper examined various phone carrying positions and switching positions as the research objective a

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