Map-matching algorithms integrated with GPS/DR are widely used for high precise self-localization in everyday ***,GPS signal is not available in many places,*** or jammed signals.A state-of-theart solution is a GPS-fr...
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Map-matching algorithms integrated with GPS/DR are widely used for high precise self-localization in everyday ***,GPS signal is not available in many places,*** or jammed signals.A state-of-theart solution is a GPS-free map-matching algorithm with a probabilistic model as well as an efficient approximate inference *** that algorithm is computationally efficient,it still puts high demands on the computation and driving *** paper adopts the model and presents an extended probabilistic self-localization algorithm using hybrid maps which include terrain maps and road network *** show that the extendedprobabilisticalgorithm enhances the real-time performance and relaxes the requirement of the shape of the *** proposed vehicle self-localizationalgorithm meets positioning requirements of ITS and it can provide references for actual use of map-matching algorithm in ITS.
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