A speed limit determination ADAS (Advanced Driver Assistance System) is preesented which performs 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. The first fusion level is presented in deatils 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 GIS (Geographical Information Systems) 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 SLA (Speed Limit Assistant) to a conventional SLA.


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    Title :

    Multi-criterion dempster-shafer fusion for speed limit determination


    Contributors:


    Publication date :

    2011


    Size :

    6 Seiten, 5 Bilder, 3 Tabellen, 9 Quellen




    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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