Nearly 1.3 million people die each year in traffic-related accidents, whereas an additional 20–50 million people are injured. Introducing autonomous vehicles would aim to reduce these numbers by removing the driver from the loop entirely and thus removing the human error. Intersections are considered a complex traffic situation for autonomous vehicles. Functions which could accurately foresee future events in those situations, mimicking the situation awareness of humans, would improve autonomous systems and increase traffic safety.


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    Title :

    Probabilistic collision estimation system for autonomous vehicles


    Contributors:


    Publication date :

    2016-11-01


    Size :

    1065113 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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