VEHICLE LOCALIZATION IN URBAN CANYONS USING GEO-REFERENCED DATA AND FEW GNSS SATELLITES
نویسندگان
چکیده
منابع مشابه
Vehicle Localization in Urban Canyons Using Geo-referenced Data and Few Gnss Satellites
Stand-alone Global Navigation Satellites System (GNSS) can provide a very accurate real-time positioning in good visibilty and signals conditions. Unfortunately, for a vehicle evolving in urban areas, those conditions are rarely satisfied, leading to debased computed location or lack of solution if less than four SVs are visible. A way to tackle such a problem can consist in fusing the raw meas...
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Limited availability of the Global Navigation Satellite System (GNSS) signals in urban canyons is a preventive factor for implementing many position-based systems. Specifically for vehicles, a variety of applications such as Intelligent Transportation Systems (ITS), navigation, and Location-Based Services (LBS) are not properly functional in dense urban areas due to constrained visibility of th...
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This paper addresses the problem of modeling and simulating RF-signals captured by receivers of Global Navigation Satellite Systems (GNSS) in urban canyons. The presence of tall buildings in urban canyons often block lines of sight between receivers and GNSS satellites, and therefore signals reach the receivers indirectly, after bouncing off buildings. These multi-path and echo-only effects are...
متن کاملUrban soundscape maps modelled with geo - referenced data
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. Noise Mapp. 2016; 3:278–294 Research Article Open Access Catherine Lavandier*, Pierre Aumond, Saul Gomez, and Catherine Dominguès Urban soundscape maps modelled with geo-referenced data DOI 10.1515/noise-2016-0020 Received May 06, 2016; accepted Oct 20, 2016 Abstract: The noise maps that are current...
متن کاملMrera (minimum Range Error Algorithm): Rfid - Gnss Integration for Vehicle Navigation in Urban Canyons
A new GPS positioning algorithm for vehicle tracking namely the “Minimum Range Error Algorithm” (MRERA) was proposed by E. Mok and L. Lam, to track vehicles in dense high-rise environments without the use of dead reckoning, and it can also be used for general geolocation positioning applications. With this algorithm, it is possible to identify which section of road network the mobile user is lo...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2007
ISSN: 1474-6670
DOI: 10.3182/20070903-3-fr-2921.00049