In robotic applications gridmaps are a common representation of the environment. For the automotive field, radar as sensing technology is suitable due to its robustness. This paper presents two radar-based grid-mapping algorithms for automotive applications like self-localization. These algorithms involve first an amplitude-based approach, which gains information about the RCS of all targets, and second an occupancy grid-mapping approach with an adapted inverse sensor measurement model. Experiments show that both gridmapping algorithms result in adequate representations of the environment.


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    Title :

    Automotive radar gridmap representations




    Publication date :

    2015-04-01


    Size :

    747834 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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