A NOVEL SYSTEM USING ENHANCED DIGITAL MAPS AND WAAS FOR A LANE-LEVEL POSITIONING

摘要

Accurate real-time positioning, i.e. at the lane level, is a big challenge for a lot of advanceddriver assistance systems (ADAS) under study or development. To reach the sub-meteraccuracy necessary for the lane discrimination, the best from the existing technologies andstate-of-the-art data fusion algorithms must be used, keeping in mind that the finalcommercial solution will have to be available at an acceptable price for the customer. In theframe of the European project CVIS, the LCPC is addressing this issue and this paper presentsthe choices that have been made: EGNOS (the European WAAS) for the main positioningtechnology, a new model of enhanced digital maps compliant with the lane-level objectiveand an innovative particle filter proposed by the LCPC team to merge sensor and map datainto a unique positioning and map-matching process.