This paper presents an approach of human-vehicle cooperative navigation system as an implementation of Advanced Driving Assistance Systems (ADAS). The driver-in-the-loop system contains commands by a human driver, which are verified and corrected by the interactive navigation algorithm based on Image-based Dynamic Window Approach (IDWA). Several autonomous driving components are involved including Visual Servoing controllers and Occupancy Grid, with the help of environment perception sensors and approaches. The validation of the algorithm as well as the parameter regulation strategy is carried out in the simulative environment of SCANeRTM Studio.


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    Title :

    Human-vehicle cooperative driving using Image-based Dynamic Window Approach: System design and simulation


    Contributors:


    Publication date :

    2016-11-01


    Size :

    409038 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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