Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching

This paper presents a multi-sensor fusion strategy for a novel road-matching method designed to support real-time navigational features within advanced driving-assistance systems. Managing multihypotheses is a useful strategy for the road-matching problem. The multi-sensor fusion and multi-modal estimation are realized using Dynamical Bayesian Network. Experimental results, using data from Antilock Braking System (ABS) sensors, a differential Global Positioning System (GPS) receiver and an accurate digital roadmap, illustrate the performances of this approach, especially in ambiguous situations.

• Type: Journal
• Year: 2007
• Where: CORR
• Authors: Cherif Smaili, Maan E. El Najjar, François Charpillet
• Keywords: Antilock Braking System, CORR 2007, Education, Multi-sensor Fusion, Multi-sensor Fusion Strategy