Digital map information and Continuous Positioning Systems (CPS) are being increasingly used in active safety applications. However due to imprecision associated with digital road maps and inevitable inaccuracies in CPS positions, a map matching algorithm is essentialfor these applications. One field of active safety in which navigation information can be used is Intersection Active Safety Applications (IASA) which requires a precise position of vehicle relative to road network in an intersection. In this paper a novel map matching algorithm for an IASA is presented. To determine the vehicle trajectory relative to the road network, the proposed map matching algorithm calculates the general offset between digital road map and the CPS given vehicle trajectory by fusion of local offsets with a Kalman filter, incorporating their respective uncertainties. The created offset eliminative map matching algorithm was tested on a complex urban trajectory and showed very encouraging results.
Offset Eliminative Map Matching Algorithm for Intersection Active Safety Applications
01.01.2006
2354808 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Offset Eliminative Map Matching Algorithm for Intersection Active Safety Applications
British Library Conference Proceedings | 2006
|Sensor Fusion for Vehicle Positioning in Intersection Active Safety Applications
British Library Conference Proceedings | 2006
|AVEC060208 Sensor Fusion for Vehicle Positioning in Intersection Active Safety Applications
British Library Conference Proceedings | 2006
|British Library Conference Proceedings | 2006
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