Abstract:
The estimation of a vehicle's dynamic state is one of the most fundamental data fusion tasks for intelligent transportation systems. This paper presents a decentralized d...Show MoreMetadata
Abstract:
The estimation of a vehicle's dynamic state is one of the most fundamental data fusion tasks for intelligent transportation systems. This paper presents a decentralized data fusion system, which estimates the relative position between traffic participants. For that, GPS pseudorange measurements and ego motion estimations are exchanged by vehicle-to-vehicle communications and incorporated by a relative motion model. Particle filtering is used for the tight coupled relative GPS/INS integration.
Published in: 2009 12th International Conference on Information Fusion
Date of Conference: 06-09 July 2009
Date Added to IEEE Xplore: 18 August 2009
Print ISBN:978-0-9824-4380-4
Conference Location: Seattle, WA, USA