Relevant bibliographies by topics / Seamless positioning and navigation

Academic literature on the topic 'Seamless positioning and navigation'

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Published: 14 March 2023

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Journal articles on the topic "Seamless positioning and navigation"

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Basiri, Anahid, Pouria Amirian, Adam Winstanley, Stuart Marsh, Terry Moore, and Guillaume Gales. "Seamless Pedestrian Positioning and Navigation Using Landmarks." Journal of Navigation 69, no. 1 (June 22, 2015): 24–40. http://dx.doi.org/10.1017/s0373463315000442.

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Many navigation services, such as car navigation services, provide users with praxic navigational instructions (such as “turn left after 200 metres, then turn right after 150 metres”), however people usually associate directions with visual cues (e.g. “turn right at the square”) when giving navigational instructions in their daily conversations. Landmarks can play an equally important role in navigation and routing services. Landmarks are unique and easy-to-recognise and remember features; therefore, in order to remember when exploring an unfamiliar environment, they would be assets. In addition, Landmarks can be found both indoors and outdoors and their locations are usually fixed. Any positioning techniques which use landmarks as reference points can potentially provide seamless (indoor and outdoor) positioning solutions. For example, users can be localised with respect to landmarks if they can take a photograph of a registered landmark and use an application for image processing and feature extraction to identify the landmark and its location. Landmarks can also be used in pedestrian-specific path finding services. Landmarks can be considered as an important parameter in a path finding algorithm to calculate a route passing more landmarks (to make the user visit a more tourist-focussed area, pass along an easier-to-follow route, etc.). Landmarks can also be used as a part of the navigational instructions provided to users; a landmark-based navigation service makes users sure that they are on the correct route, as the user is reassured by seeing the landmark whose information/picture has just been provided as a part of navigational instruction. This paper shows how landmarks can help improve positioning and praxic navigational instructions in all these ways.
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Cho, Seong Yun, and Chan Gook Park. "MEMS Based Pedestrian Navigation System." Journal of Navigation 59, no. 1 (December 15, 2005): 135–53. http://dx.doi.org/10.1017/s0373463305003486.

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In this paper we present a micro-electrical mechanical system (MEMS) based pedestrian navigation system (PNS) for seamless positioning. The sub-algorithms for the PNS are developed and the positioning performance is enhanced using the modified receding horizon Kalman finite impulse response filter (MRHKF). The PNS consists of a biaxial accelerometer and a biaxial magnetic compass mounted on a shoe. The PNS detects a step using a novel technique during the stance phase and simultaneously calculates walking information. Step length is estimated using a neural network whose inputs are the walking information. The azimuth is calculated using the magnetic compass, the walking information and the tilt compensation algorithm. Using the proposed sub-algorithms, seamless positioning can be accomplished. However, the magnetic compass based azimuth may have an error that varies according to the surrounding magnetic field. In this paper, the varying error is compensated using the MRHKF filter. Finally, the performance enhanced seamless positioning is achieved, and the performance is verified by experiment.
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Xu, Tian Lai. "Seamless INS/GPS Integration Based on Support Vector Machines." Applied Mechanics and Materials 336-338 (July 2013): 277–80. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.277.

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The combination of Inertial Navigation System (INS) and Global Positioning System (GPS) provides superior performance in comparison with either a stand-alone INS or GPS. However, the positioning accuracy of INS/GPS deteriorates with time in the absence of GPS signals. A least squares support vector machines (LS-SVM) regression algorithm is applied to INS/GPS integrated navigation system to bridge the GPS outages to achieve seamless navigation. In this method, LS-SVM is trained to model the errors of INS when GPS is available. Once the LS-SVM is properly trained in the training phase, its prediction can be used to correct the INS errors during GPS outages. Simulations in INS/GPS integrated navigation showed improvements in positioning accuracy when GPS outages occur.
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Wang, Changqiang, Aigong Xu, Xin Sui, Yushi Hao, Zhengxu Shi, and Zhijian Chen. "A Seamless Navigation System and Applications for Autonomous Vehicles Using a Tightly Coupled GNSS/UWB/INS/Map Integration Scheme." Remote Sensing 14, no. 1 (December 22, 2021): 27. http://dx.doi.org/10.3390/rs14010027.

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Seamless positioning systems for complex environments have been a popular focus of research on positioning safety for autonomous vehicles (AVs). In particular, the seamless high-precision positioning of AVs indoors and outdoors still poses considerable challenges and requires continuous, reliable, and high-precision positioning information to guarantee the safety of driving. To obtain effective positioning information, multiconstellation global navigation satellite system (multi-GNSS) real-time kinematics (RTK) and an inertial navigation system (INS) have been widely integrated into AVs. However, integrated multi-GNSS and INS applications cannot provide effective and seamless positioning results for AVs in indoor and outdoor environments due to limited satellite availability, multipath effects, frequent signal blockages, and the lack of GNSS signals indoors. In this contribution, multi-GNSS-tightly coupled (TC) RTK/INS technology is developed to solve the positioning problem for a challenging urban outdoor environment. In addition, ultrawideband (UWB)/INS technology is developed to provide accurate and continuous positioning results in indoor environments, and INS and map information are used to identify and eliminate UWB non-line-of-sight (NLOS) errors. Finally, an improved adaptive robust extended Kalman filter (AREKF) algorithm based on a TC integrated single-frequency multi-GNSS-TC RTK/UWB/INS/map system is studied to provide continuous, reliable, high-precision positioning information to AVs in indoor and outdoor environments. Experimental results show that the proposed scheme is capable of seamlessly guaranteeing the positioning accuracy of AVs in complex indoor and outdoor environments involving many measurement outliers and environmental interference effects.
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Jiang, Wei, Yong Li, Chris Rizos, Baigen Cai, and Wei Shangguan. "Seamless Indoor-Outdoor Navigation based on GNSS, INS and Terrestrial Ranging Techniques." Journal of Navigation 70, no. 6 (July 11, 2017): 1183–204. http://dx.doi.org/10.1017/s037346331700042x.

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We describe an integrated navigation system based on Global Navigation Satellite Systems (GNSS), an Inertial Navigation System (INS) and terrestrial ranging technologies that can support accurate and seamless indoor-outdoor positioning. To overcome severe multipath disturbance in indoor environments, Locata technology is used in this navigation system. Such a “Locata-augmented” navigation system can operate in different positioning modes in both indoor and outdoor environments. In environments where GNSS is unavailable, e.g. indoors, the proposed system is designed to operate in the Locata/INS “loosely-integrated” mode. On the other hand, in outdoor environments, all GNSS, Locata and INS measurements are available, and all useful information can be fused via a decentralised Federated Kalman filter. To evaluate the proposed system for seamless indoor-outdoor positioning, an indoor-outdoor test was conducted at a metal-clad warehouse. The test results confirmed that the proposed navigation system can provide continuous and reliable position and attitude solutions, with the positioning accuracy being better than five centimetres.
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Zou, Deyue, Shutong Niu, Shuhao Chen, Binhong Su, Xinyi Cheng, Jie Liu, Yunfeng Liu, and Yang Li. "A smart city used low-latency seamless positioning system based on inverse global navigation satellite system technology." International Journal of Distributed Sensor Networks 15, no. 9 (September 2019): 155014771987381. http://dx.doi.org/10.1177/1550147719873815.

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People have to move between indoor and outdoor frequently in city scenarios. The global navigation satellite system signal cannot provide reliable indoor positioning services. To solve the problem, this article proposes a seamless positioning system based on an inverse global navigation satellite system signal, which can extend the global navigation satellite system service into the indoor scenario. In this method, a signal source is arranged at a key position in the room, and the inverse global navigation satellite system signal is transmitted to the global navigation satellite system receiver to obtain a preset positioning result. The indoor positioning service is continued with the inertial navigation system after leaving the key position. The inverse global navigation satellite system seamless positioning system proposed in this article can unify indoor and outdoor positioning using the same receiver. The receiver does not need to re-receive navigation information when the scene changes, which avoids the switching process. Through the design of signal layer coverage, the receiver is in a warm start state, and the users can quickly fix the position when the scenario changes, realizing quick access in a true sense. This enables the ordinary commercial global navigation satellite system receiver to obtain indoor positioning capability without modification, and the algorithm can perform accurate positioning indoors and outdoors without switching.
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Li, Ningbo, Lianwu Guan, Yanbin Gao, Shitong Du, Menghao Wu, Xingxing Guang, and Xiaodan Cong. "Indoor and Outdoor Low-Cost Seamless Integrated Navigation System Based on the Integration of INS/GNSS/LIDAR System." Remote Sensing 12, no. 19 (October 8, 2020): 3271. http://dx.doi.org/10.3390/rs12193271.

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Global Navigation Satellite System (GNSS) provides accurate positioning data for vehicular navigation in open outdoor environment. In an indoor environment, Light Detection and Ranging (LIDAR) Simultaneous Localization and Mapping (SLAM) establishes a two-dimensional map and provides positioning data. However, LIDAR can only provide relative positioning data and it cannot directly provide the latitude and longitude of the current position. As a consequence, GNSS/Inertial Navigation System (INS) integrated navigation could be employed in outdoors, while the indoors part makes use of INS/LIDAR integrated navigation and the corresponding switching navigation will make the indoor and outdoor positioning consistent. In addition, when the vehicle enters the garage, the GNSS signal will be blurred for a while and then disappeared. Ambiguous GNSS satellite signals will lead to the continuous distortion or overall drift of the positioning trajectory in the indoor condition. Therefore, an INS/LIDAR seamless integrated navigation algorithm and a switching algorithm based on vehicle navigation system are designed. According to the experimental data, the positioning accuracy of the INS/LIDAR navigation algorithm in the simulated environmental experiment is 50% higher than that of the Dead Reckoning (DR) algorithm. Besides, the switching algorithm developed based on the INS/LIDAR integrated navigation algorithm can achieve 80% success rate in navigation mode switching.
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Li, Ningbo, Lianwu Guan, Yanbin Gao, Zhejun Liu, Ye Wang, and Hanxiao Rong. "A Low Cost Civil Vehicular Seamless Navigation Technology Based on Enhanced RISS/GPS between the Outdoors and an Underground Garage." Electronics 9, no. 1 (January 8, 2020): 120. http://dx.doi.org/10.3390/electronics9010120.

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Vehicles have to rely on satellite navigation in an open environment. However, satellite navigation cannot obtain accurate positioning information for vehicles in the interior of underground parking lots, as they comprise a semi-enclosed navigation space. Therefore, vehicular navigation needs to take into consideration both outdoor and indoor environments. Actually, outdoor navigation and indoor navigation require different positioning methods, and it is of great importance to choose a reasonable navigation and positioning algorithm solution for vehicles. Fortunately, the integrated navigation of the Global Positioning System (GPS) and the Micro-Electro-Mechanical System (MEMS) inertial navigation system could solve the problem of switching navigation algorithms in the entrance and exit of underground parking lots. This paper proposes a low cost vehicular seamless navigation technology based on the reduced inertial sensor system (RISS)/GPS between the outdoors and an underground garage. Specifically, the enhanced RISS is a positioning algorithm based on three inertial sensors and one odometer, which could achieve a similar location effect as the full model integrated navigation, reduce the costs greatly, and improve the efficiency of each sensor.
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Yue, Peng, Yue Xu, Rui Xue, and Zedong Liang. "A Fusion Localization Algorithm with Adaptive Kalman Gain for Port Container Seamless Positioning." Wireless Communications and Mobile Computing 2022 (September 7, 2022): 1–19. http://dx.doi.org/10.1155/2022/7459408.

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BeiDou Navigation Satellite System (BDS) has provided high-precision, reliable positioning, navigation, and timing services anywhere in the world since the end of 2020. However, the positioning performance of BDS does not behave well like the other global navigation satellite systems (GNSS) in the transition areas indoor and outdoor, particularly in container ports, because the navigation signals are blocked and reflected by containers. In order to solve the above problem, as the pulse radio ultra-wideband (UWB) has the characteristics of high positioning accuracy, high multipath resolution, large bandwidth, and high communication rate, it is used as the Beidou auxiliary system, and the two are combined. In addition, the positioning algorithm greatly affects BDS/UWB integrated positioning performance. The single Newton iterative least square (LS) positioning algorithm does not take into account the continuity of position in time, leading to disordered positioning results and large positioning errors. For obtaining high positioning accuracy, the Kalman filter (KF) is introduced to process the output results of the LS algorithm, and a fusion localization algorithm of the Newton iterative least square and Kalman filter (LS-KF) with adaptive Kalman gain is proposed in this paper. The fusion algorithm can solve effectively the problem that the Kalman gain approaches a stable state after multiple observation epochs, resulting in a constant ratio between the predicted and the measured states. Besides, the algorithm can be used to assess the confidence of each measurement state, determine the Kalman gain adaptive adjustment factor according to the obtained confidence, and further adjust the Kalman gain through the adaptive factor. Theoretical analysis and simulation results show that the proposed algorithm can improve the overall positioning accuracy and anti-interference ability.
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Chen, Weina, Qinghua Zeng, Jianye Liu, and Huizhe Wang. "Seamless autonomous navigation based on the motion constraint of the mobile robot." Industrial Robot: An International Journal 44, no. 2 (March 20, 2017): 178–88. http://dx.doi.org/10.1108/ir-06-2016-0171.

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Purpose The purpose of this paper is to propose a seamless autonomous navigation method based on the motion constraint of the mobile robot, which is able to meet the practical need of maintaining the navigation accuracy during global positioning system (GPS) outages. Design/methodology/approach The seamless method uses the motion constraint of the mobile robot to establish the filter model of the system, in which the virtual observation about the speed is used to overcome the shortage of the navigation accuracy during GPS outages. The corresponding motion constraint model of the mobile robot is established. The proposed seamless navigation scheme includes two parts: the micro inertial navigation system (MINS)/GPS-integrated filter model and the motion constraint filter model. When the satellite signals are good, the system works on the MINS/GPS-integrated mode. If some obstacles block the GPS signals, the motion constraint measurement equation will be effective so as to improve the navigation accuracy of the mobile robot. Findings Three different vehicle tests of the mobile robot show that the seamless navigation method can overcome the shortage of the navigation accuracy during GPS outages, so as to improve the navigation performance in practical applications. Originality/value A seamless navigation system based on the motion constraint of the mobile robot is proposed to overcome the shortage of the navigation accuracy during GPS outages, thus improving the adaptability of the robot navigation.
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Dissertations / Theses on the topic "Seamless positioning and navigation"

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Peltola, Pekka. "Towards seamless pedestrian navigation." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/51886/.

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The best methods for processing a positioning solution vary between the positioning technologies. The main methods are examined and the best are chosen and used in the final implementation. The path-loss modelling is the faster method when using BLE. It is slightly more advantageous, although slightly less accurate, when compared with the very laborious Fingerprinting alternative. For an UWB system, the accurate timing method is the better option over the signal strength measures. These sensor subsystems produce the positioning solutions that are of different quality. The fusion filter is then the motor, where the information fusion of these subsystems happens. For the fusion, multiple methods exist. Accuracy and computational efficiency are the driving factors in this process of continuous development of an ultimate seamless navigation system. A truly seamless navigation system uses the best available sensors and methods in the derivation of the most accurate positioning solution. This acquisition relies on the context inference process. The system adapts to all contexts throughout the navigation process. The developed novel seamless positioning system in this thesis was implemented successfully and was proven to operate correctly. The accuracy of the implemented system reaches a level below 4 metres (95%), outdoors. Indoors, the accuracy reaches a level below 2 metres. The availability, the deployment and the existing infrastructure are an issue to be tackled in the future. The thesis work was conducted as a part of the Marie Curie Initial Training Network project, named Multi-Pos. This project consisted of 15 researchers at different locations in Europe. Part of the thesis is a result of the cooperation between the project partners. Especially the parts of the work done on context detection and the literature review were completed with common effort.
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Do, Ju-Yong. "Road to seamless positioning : hybrid positioning system combining GPS and television signals /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Jirawimut, Rommanee. "Integrated positioning system for pedestrian navigation." Thesis, Brunel University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250048.

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Streletskiy, Y. S. "Global positioning system." Thesis, Sumy State University, 2015. http://essuir.sumdu.edu.ua/handle/123456789/40496.

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Space exploration has a great meaning for mankind. There are many space technologies that have been explored for space, but then transformed for human everyday use. One of such technologies is GPS navigation.
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Khider, Mohammed [Verfasser]. "Multisensor-Based Positioning for Pedestrian Navigation / Mohammed Khider." München : Verlag Dr. Hut, 2014. http://d-nb.info/1047994984/34.

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Song, Yajun, and Qishan Zhang. "Personal Positioning and Navigation System Based on GPS." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611393.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California
The Global Positioning System (GPS) is a very accurate, all-weather, world wide three dimensional navigation system and it has been used in almost every field related to positioning and navigation. This paper presents a new application of GPS technology - personal positioning and navigation system. It combines VP ONCORE receiver OEM (Original Equipment Manufacture) board and an intelligent system controller, with a keyboard and a programmable LCD as its peripherals. This system can realize rich navigation functions and satisfy the need of personal use.
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Sandmark, David. "Navigation Strategies for Improved Positioning of Autonomous Vehicles." Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159830.

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This report proposes three algorithms using model predictive control (MPC) in order to improve the positioning accuracy of an unmanned vehicle. The developed algorithms succeed in reducing the uncertainty in position by allowing the vehicle to deviate from a planned path, and can also handle the presence of occluding objects. To achieve this improvement, a compromise is made between following a predefined trajectory and maintaining good positioning accuracy. Due to the recent development of threats to systems using global navigation satellite systems to localise themselves, there is an increased need for methods of localisation that can function without relying on receiving signals from distant satellites. One example of such a system is a vehicle using a range-bearing sensor in combination with a map to localise itself. However, a system relying only on these measurements to estimate its position during a mission may get lost or gain an unacceptable level of uncertainty in its position estimates. Therefore, this thesis proposes a selection of algorithms that have been developed with the purpose of improving the positioning accuracy of such an autonomous vehicle without changing the available measurement equipment. These algorithms are: A nonlinear MPC solving an optimisation problem. A linear MPC using a linear approximation of the positioning uncertainty to reduce the computational complexity. A nonlinear MPC using a linear approximation (henceforth called the approximate MPC) of an underlying component of the positioning uncertainty in order to reduce computational complexity while still having good performance. The algorithms were evaluated in two different types of simulated scenarios in MATLAB. In these simulations, the nonlinear, linear and approximate MPC algorithms reduced the root mean squared positioning error by 20-25 %, 14-18 %, and 23-27 % respectively, compared to a reference path. It was found that the approximate MPC seems to have the best performance of the three algorithms in the examined scenarios, while the linear MPC may be used in the event that this is too computationally costly. The nonlinear MPC solving the full problem is a reasonable choice only in the case when computing power is not limited, or when the approximation used in the approximate MPC is too inaccurate for the application.
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Mazaheri, Shima. "Indoor navigation." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-32798.

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In our day to day activity, imagine if you go to a museum, hospital or any kind of huge building. You need to find the best way to get into a specific depart- ment. It might be difficult to find the way even if you have the map of the building in your hand. Indoor positioning systems can be used to locate people or objects inside a building, using radio waves, signals, or other sensory information collected by a smartphone or tablet. Bluetooth Low Energy (BLE) beacons broadcast signals, and bluetooth devices, such as smartphones, can then receive these signals. BLE devices can take Received Signal Strength Indication (RSSI) information together with an algorithm to calculate the location of the user. This is a useful method for indoor environments when using Global Positioning System (GPS) is not an option [1]. In this project I tried to find a better solution for localization and navigation when GPS does not work. The focus of the project is to use communication be- tween smartphones and beacons, for guidance in inside environments, without using GPS. This thesis is about the applications I produced, which can be used for indoor localization and navigation. Using the applications, you can map any building such as university, hospital, museum, big mall etc. To map a building, you upload a map of the building and put waypoints where you placed beacons. Once mapping is done, you can log in to the web admin and put some informa- tion for each beacon. As a user, when outside a nearby mapped building, your phone can get notified (trough bluetooth), and you can download the user app, which includes the map of the building and shows your location. With the user app you can easily find your favorite places in the building and get information about place near you.
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Zhu, Guoliang. "Trajectory-aided GNSS land navigation : application to train positioning." Thesis, Troyes, 2014. http://www.theses.fr/2014TROY0007/document.

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Au cours des dernières années, la technologie GNSS a attiré beaucoup d’attention autour du monde et elle a été largement appliquée dans de nombreux domaines. D'autre part, le système d'exploitation ferroviaire avancé a été largement utilisé pour assurer la sécurité, la sûreté et l'efficacité du réseau ferroviaire. L'efficacité de ce système se fonde sur la disponibilité du positionnement fiable du train. L’application de cette technologie au positionnement du train est un domaine de recherche très prometteur. Dans cette thèse, plusieurs algorithmes sont proposés pour le positionnement du train en utilisant des signaux GNSS et un modèle géométrique de voie stocké dans la base de données à bord du train. Premièrement, la distance, vitesse du train sont estimées en utilisant des signaux GNSS et un modèle géométrique ‘idéal’ qui est composé de lignes droites, de courbes de transition et d'arcs de cercle. L’impact du rayon de courbure de la voie sur ces estimations est étudié. Deuxièmement, la distance, vitesse du train sont estimées en utilisant des signaux GNSS et un modèle géométrique ‘non-idéal’ qui est approché par une ligne polygonale avec un certain niveau d'incertitude. L’impact de l’incertitude de la voie sur ces estimations est étudié. Finalement, la distance, vitesse du train sont estimées à l’aide d’intégration des mesures GNSS et une base de données bruitée. L’impact des erreurs de GNSS et de la base de données sur ces estimations est étudié
Over these years, GNSS technology has attracted many attentions around world and it has been widely applied in navigation for airplanes, ground vehicles and boats. On the other hand, advanced railway operating systems have been widely used to guarantee the safety and efficiency of the railway network. The efficiency of these systems is based on the availability of reliable train positioning. Hence, applying GNSS technology to the train positioning is a very promising research area, since it has such important benefits as lower initial costs and lower maintenance. In this thesis, several algorithms are proposed for train positioning by using GNSS signals and the railway centerline stored in the onboard computer database. At first, the train travelled distance, speed are estimated by using GNSS signals and an ''ideal'' railway centerline which is composed of straight line segments, transition curves and arcs of circles. The impact of the railroad curvature on these estimations is studied. Secondly, the train travelled distance, speed are estimated by using GNSS signals and a ''non-ideal'' railway centerline which is defined by a polygonal line with some level of uncertainty. The impact of the track geometric model imprecision on these estimations is studied. Finally, the train travelled distance, speed are estimated by integrating the GNSS measurements with a track database. The impact of the GNSS measurements and the track database errors on these estimations is studied
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Cheng, Chao-heh. "Calculations for positioning with the Global Navigation Satellite System." Ohio : Ohio University, 1998. http://www.ohiolink.edu/etd/view.cgi?ohiou1176839268.

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Books on the topic "Seamless positioning and navigation"

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K, Legat, and Wieser M, eds. Navigation: Principles of positioning and guidance. Wien: Springer, 2003.

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Hofmann-Wellenhof, B. Navigation: Principles of positioning and guidance. Wien: Springer, 2004.

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Rongsheng, Li. All Source Positioning, Navigation and Timing. Norwood: Artech House, 2020.

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P, Andrews Angus, Bartone Chris, and ebrary Inc, eds. Global navigation satellite systems, inertial navigation, and integration. 3rd ed. Hoboken: John Wiley & Sons, 2013.

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Matthew, Barth, ed. The global positioning system and inertial navigation. New York: McGraw-Hill, 1999.

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Weill, Lawrence R. (Lawrence Randolph), 1938-, Andrews Angus P, and Wiley online library, eds. Global positioning systems, inertial navigation, and integration. 2nd ed. Hoboken, N.J: Wiley-Interscience, 2007.

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1938-, Weill Lawrence Randolph, and Andrews Angus P, eds. Global positioning systems, inertial navigation, and integration. New York: John Wiley, 2001.

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Virginia. Council on Information Management., ed. Global Positioning Systems (GPS). [Richmond]: The Council, 1994.

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Reus, N. M. de. A positioning system based on NAVSAT. Amsterdam: National Aerospace Laboratory, 1987.

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Walker, Stuart H. Positioning: The logic of sailboat racing. New York: W.W. Norton, 1991.

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Book chapters on the topic "Seamless positioning and navigation"

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Peltola, Pekka, and Terry Moore. "Towards Seamless Navigation." In Multi-Technology Positioning, 125–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50427-8_7.

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Wang, Kailong, Huixia Li, and Hang Guo. "Research on Positioning Accuracy of Indoor and Outdoor Pedestrian Seamless Navigation." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 355–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51103-6_32.

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Du, Yuanfeng, and Dongkai Yang. "Seamless Positioning and Navigation System Based on GNSS, WIFI and PDR for Mobile Devices." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 522–40. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22968-9_48.

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Schwartz, Tim, Christoph Stahl, Jörg Baus, and Wolfgang Wahlster. "Seamless Resource-Adaptive Navigation." In Resource-Adaptive Cognitive Processes, 239–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-89408-7_11.

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Yan, Jinjin, and Sisi Zlatanova. "Spaces for Seamless Navigation." In Seamless 3D Navigation in Indoor and Outdoor Spaces, 21–44. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003281146-2.

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Mansfeld, Werner. "Global Positioning System (GPS)." In Satellitenortung und Navigation, 113–215. Wiesbaden: Vieweg+Teubner Verlag, 1998. http://dx.doi.org/10.1007/978-3-322-92917-4_3.

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Mansfeld, Werner. "Global Positioning System (GPS)." In Satellitenortung und Navigation, 107–211. Wiesbaden: Vieweg+Teubner Verlag, 2004. http://dx.doi.org/10.1007/978-3-663-11328-7_3.

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Sharp, Ian, and Kegen Yu. "Signal Strength Positioning." In Navigation: Science and Technology, 475–504. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8791-2_15.

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Sharp, Ian, and Kegen Yu. "Designing Positioning Systems." In Navigation: Science and Technology, 9–35. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8791-2_2.

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Sharp, Ian, and Kegen Yu. "Indoor WiFi Positioning." In Navigation: Science and Technology, 219–40. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8791-2_8.

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Conference papers on the topic "Seamless positioning and navigation"

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Diaz, Estefania Munoz, Fabian De Ponte Muller, and Eduardo Perez Gonzalez. "Intelligent Urban Mobility: Pedestrian and Bicycle Seamless Navigation." In 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2018. http://dx.doi.org/10.1109/ipin.2018.8533705.

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Huang, Heze, Qinghua Zeng, Ruizhi Chen, Qian Meng, Jingxian Wang, and Shijie Zeng. "Seamless Navigation Methodology optimized for Indoor/Outdoor Detection Based on WIFI." In 2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS). IEEE, 2018. http://dx.doi.org/10.1109/upinlbs.2018.8559940.

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Sakamoto, Y., T. Ebinuma, K. Fujii, and S. Sugano. "GPS-compatible indoor-positioning methods for indoor-outdoor seamless robot navigation." In 2012 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO). IEEE, 2012. http://dx.doi.org/10.1109/arso.2012.6213406.

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Chen, Yuwei, Ruizhi Chen, Xiang Chen, Wei Chen, and Qian Wang. "Wearable electromyography sensor based outdoor-indoor seamless pedestrian navigation using motion recognition method." In 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2011. http://dx.doi.org/10.1109/ipin.2011.6071913.

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Xiaoxue Zhang, Qinghua Zeng, Qian Meng, Jianye Liu, and Jingxian Wang. "Implementation of smartphone seamless positioning system based on mobile navigation electronic map." In 2016 Fourth International Conference on Ubiquitous Positioning, Indoor Navigation and Location Based Services (UPINLBS). IEEE, 2016. http://dx.doi.org/10.1109/upinlbs.2016.7809955.

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Ling Yang, Junping Zou, Yong Li, and Chris Rizos. "Seamless pedestrian navigation augmented by walk status detection and context features." In 2016 Fourth International Conference on Ubiquitous Positioning, Indoor Navigation and Location Based Services (UPINLBS). IEEE, 2016. http://dx.doi.org/10.1109/upinlbs.2016.7809988.

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Zhu, Ni, Miguel Ortiz, and Valerie Renaudin. "Seamless Indoor-Outdoor Infrastructure-free Navigation for Pedestrians and Vehicles with GNSS-aided Foot-mounted IMU." In 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2019. http://dx.doi.org/10.1109/ipin.2019.8911741.

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Xiaoxue Zhang, Qinghua Zeng, Qian Meng, Zhi Xiong, and Weixing Qian. "Design and realization of a mobile seamless navigation and positioning system based on Bluetooth technology." In 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC). IEEE, 2016. http://dx.doi.org/10.1109/cgncc.2016.7829062.

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Jan, Meng S., Jing Y. Ke, and Chung L. Chang. "Integrated positioning method based on UWB and RTK-GNSS for seamless navigation of poultry robots." In 2022 International Automatic Control Conference (CACS). IEEE, 2022. http://dx.doi.org/10.1109/cacs55319.2022.9969777.

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Lee, YongJun, and Byungwoon Park. "Seamless Accurate Positioning in Deep Urban Area using DGNSS and CMC-based Multipath Mitigation." In 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020). Institute of Navigation, 2020. http://dx.doi.org/10.33012/2020.17559.

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Reports on the topic "Seamless positioning and navigation"

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Monda, Eric W. Global positioning system pseudolite-based relative navigation. Office of Scientific and Technical Information (OSTI), March 2004. http://dx.doi.org/10.2172/918766.

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Bartone, Chris. Advanced Navigation Terminal System Using the Global Positioning System. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada420034.

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Owen, T. E., M. A. Meindl, and J. R. Fellerhoff. High accuracy integrated global positioning system/inertial navigation system LDRD: Final report. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/465885.

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Smith, Bruce G. Space-Based Positioning, Navigation and Timing Policy (The Tension between Military and Civil Requirements). Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada448754.

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Ferguson, S. T., and J. C. Bryant. Design and Testing of An Airborne Global Positioning System[gps] Navigation and Flight Path Recovery System. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1991. http://dx.doi.org/10.4095/131486.

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Haak, Jeffrey W. Verification of Robustified Kalman Filters for the Integration of Global Positioning System (GPS) and Inertial Navigation System (INS) Data,. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada288609.

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Robert, J., and Michael Forte. Field evaluation of GNSS/GPS based RTK, RTN, and RTX correction systems. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41864.

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This Coastal and Hydraulic Engineering Technical Note (CHETN) details an evaluation of three Global Navigation Satellite System (GNSS)/Global Positioning System (GPS) real-time correction methods capable of providing centimeter-level positioning. Internet and satellite-delivered correction systems, Real Time Network (RTN) and Real Time eXtended (RTX), respectively, are compared to a traditional ground-based two-way radio transmission correction system, generally referred to as Local RTK, or simply RTK. Results from this study will provide prospective users background information on each of these positioning systems and comparisons of their respective accuracies during in field operations.
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Habib, Ayman, Darcy M. Bullock, Yi-Chun Lin, Raja Manish, and Radhika Ravi. Field Test Bed for Evaluating Embedded Vehicle Sensors with Indiana Companies. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317385.

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With the advent of modern sensing technology, mapping products have begun to achieve an unprecedented precision of measurement. Considering their diverse use cases, several factors play a role in what would make the resulting measurements accurate. For light detection and ranging (LiDAR) and photogrammetry-based mapping solutions that implement vehicles outfitted with laser ranging devices, RGB cameras, and global navigation satellite system/inertial navigation system (GNSS/INS) georeferencing units, the quality of the derived mapping products is governed by the combined accuracy of the various sensors. While ranging errors associated with LiDAR systems or the imaging quality of RGB cameras are sensor-dependent and are mostly constant, the accuracy of a georeferencing unit depends on a variety of extrinsic factors, including but not limited to, availability of clear line-of-path to GNSS satellites and presence of radio interferences. The quality of the GNSS signal, in turn, is affected by the grade of hardware components used and, to a great extent, obstructions to signal reception. This document reports some of the major challenges of vehicle-based mobile mapping with regards to GNSS/INS navigation. The background of GNSS/INS positioning is discussed to build a framework for trajectory enhancement as well as improvement of LiDAR mapping products. The focus is put on using available sensor data from LiDAR and/or cameras to enhance their position/orientation quality. Some best practices in light of potential trajectory deterioration are also recommended.
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Semerikov, Serhiy O., Mykhailo M. Mintii, and Iryna S. Mintii. Review of the course "Development of Virtual and Augmented Reality Software" for STEM teachers: implementation results and improvement potentials. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4591.

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The research provides a review of applying the virtual reality (VR) and augmented reality (AR) technology to education. There are analysed VR and AR tools applied to the course “Development of VR and AR software” for STEM teachers and specified efficiency of mutual application of the environment Unity to visual design, the programming environment (e.g. Visual Studio) and the VR and AR platforms (e.g. Vuforia). JavaScript language and the A-Frame, AR.js, Three.js, ARToolKit and 8th Wall libraries are selected as programming tools. The designed course includes the following modules: development of VR tools (VR and Game Engines; physical interactions and camera; 3D interface and positioning; 3D user interaction; VR navigation and introduction) and development of AR tools (set up AR tools in Unity 3D; development of a project for a photograph; development of training materials with Vuforia; development for promising devices). The course lasts 16 weeks and contains the task content and patterns of performance. It is ascertained that the course enhances development of competences of designing and using innovative learning tools. There are provided the survey of the course participants concerning their expectations and the course results. Reduced amounts of independent work, increased classroom hours, detailed methodological recommendations and increased number of practical problems associated with STEM subjects are mentioned as the course potentials to be implemented.
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Pstuty, Norbert, Mark Duffy, Dennis Skidds, Tanya Silveira, Andrea Habeck, Katherine Ames, and Glenn Liu. Northeast Coastal and Barrier Network Geomorphological Monitoring Protocol: Part I—Ocean Shoreline Position, Version 2. National Park Service, June 2022. http://dx.doi.org/10.36967/2293713.

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Following a review of Vital Signs – indicators of ecosystem health – in the coastal parks of the Northeast Coastal and Barrier Network (NCBN), knowledge of shoreline change was ranked as the top variable for monitoring. Shoreline change is a basic element in the management of any coastal system because it contributes to the understanding of the functioning of the natural resources and to the administration of the cultural resources within the parks. Collection of information on the vectors of change relies on the establishment of a rigorous system of protocols to monitor elements of the coastal geomorphology that are guided by three basic principles: 1) all of the elements in the protocols are to be based on scientific principles; 2) the products of the monitoring must relate to issues of importance to park management; and 3) the application of the protocols must be capable of implementation at the local level within the NCBN. Changes in ocean shoreline position are recognized as interacting with many other elements of the Ocean Beach-Dune Ecosystem and are thus both driving and responding to the variety of natural and cultural factors active at the coast at a variety of temporal and spatial scales. The direction and magnitude of shoreline change can be monitored through the application of a protocol that tracks the spatial position of the neap-tide, high tide swash line under well-defined conditions of temporal sampling. Spring and fall surveys conducted in accordance with standard operating procedures will generate consistent and comparable shoreline position data sets that can be incorporated within a data matrix and subsequently analyzed for temporal and spatial variations. The Ocean Shoreline Position Monitoring Protocol will be applied to six parks in the NCBN: Assateague Island National Seashore, Cape Cod National Seashore, Fire Island National Seashore, Gateway National Recreation Area, George Washington Birthplace National Monument, and Sagamore Hill National Historic Site. Monitoring will be accomplished with a Global Positioning System (GPS )/ Global Navigation Satellite System (GNSS) unit capable of sub-meter horizontal accuracy that is usually mounted on an off-road vehicle and driven along the swash line. Under the guidance of a set of Standard Operating Procedures (SOPs) (Psuty et al., 2022), the monitoring will generate comparable data sets. The protocol will produce shoreline change metrics following the methodology of the Digital Shoreline Analysis System developed by the United States Geological Survey. Annual Data Summaries and Trend Reports will present and analyze the collected data sets. All collected data will undergo rigorous quality-assurance and quality-control procedures and will be archived at the offices of the NCBN. All monitoring products will be made available via the National Park Service’s Integrated Resource Management Applications Portal.
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