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Road Selection Using Multicriteria Fusion for the Road-Matching Problem



This paper presents a road selection strategy for novel road-matching methods that are designed to support realtime navigational features within Advanced Driving-Assistance Systems (ADAS). Selecting the most likely segment(s) is a crucial issue for the road-matching problem. Particular attention is given to the development of belief functions from measurements and estimations of relative distances, headings, and velocities.


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Paper published in the IEEE Transactions on Intelligent Vehicles, Volume 8, N°2, pp279-291, June 2007



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