Multi-criterion Dempster-Shafer Fusion for Speed Limit Determination
نویسنده
چکیده
This paper deals with a Speed Limit determination Advanced Driver Assistance System (ADAS) performing the combination of information given by a navigation system and a Speed Limit Sign Recognition system. The present strategy is based on a multi-level data fusion using the Evidence theory (also called Dempster-Shafer theory or Belief Theory) and the sensors respective confidence values. This paper focuses on the first fusion level dedicated to the determination of reliable navigation information through a multi-criterion approach. Indeed, criteria are referring to digital map database attributes describing the road context. Their fusion then allows to detect the Geographical Information Systems (GIS) errors while taking its inaccuracies (resolution of the digital map, positioning and localization errors) into account. The benefits of the proposed solution are shown through simulations and real experiments result comparisons of this multi-level Speed Limit Assistant (SLA) to a conventional SLA.
منابع مشابه
Multi-level Dempster-Shafer Speed Limit Assistant
This paper deals with a Speed Limit Assistant (SLA) performing the fusion of a Geographic Information System (GIS) and a vision system. The present strategy is based on multi-level data fusion using Evidence Theory. In a first step, the GIS reliability is estimated through GIS criteria related to the positioning, the localization and the digital map resolution. Contextual criteria also extracte...
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