Abstract
This paper presents an approach that provides extended vehicle location information based on multi sensor data fusion. Firstly, the vehicle location, a recommended speed level referred to this location and a confidence level attached to this speed evaluation are determined thanks to the digital road map of a navigation system. At the same time, a speed sign recognition device based on image processing determines the legal speed limit and an associated confidence level of the detection. Because of the uncertainties and imprecision of both sensors, fusion using Belief Theory is performed between the data provided by each sources. By merging several criteria from the digital map with the traffic sign detection results, this approach allows on the one hand a reliable determination of the driving conditions and on the other hand the evaluation of the confidence level of the decision. Real experiment results from a driving situation in which both sources are in conflict illustrate the effectiveness of the approach.
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