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