Lane-Level Positioning using Particle Filtering
| Autor: | Selloum, Ahmed, Betaille, David, Le Carpentier, Eric, Peyret, François |
|---|---|
| Přispěvatelé: | Département Mesure, Auscultation et Calcul Scientifique (LCPC/MACS), Laboratoire Central des Ponts et Chaussées (LCPC)-PRES Université Nantes Angers Le Mans (UNAM), Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN), Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: | |
| Zdroj: | 12th International IEEE Conference on Intelligent Transportation Systems 12th International IEEE Conference on Intelligent Transportation Systems, Oct 2009, France. 6 p |
| Popis: | GPS positioning and map-matching are key technologies used in Car Navigation Systems. Next generation of Cooperative Vehicle Infrastructure Systems (CVIS) will surely require positioning component with higher accuracy, integrity and availability, for instance for the needs of lanelevel applications. The concept of Map Aided Location (MAL) was introduced recently: it consists in considering the map contents (geometry and topology) as constraints in the positioning problem. The main contribution of the work reported in this article concerns the evolution model of the vehicle : whereas previous research investigations were based on usual models in plane coordinates, we propose here an evolution model adapted to the local curvature of the road. Therefore, road constraints are emphasized, particularly when GPS outages occur. An enhanced map (Emap) - where all lanes are represented with decimeter accuracy - is used in this Map Aided Location process. |
| Databáze: | OpenAIRE |
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