This work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The solution is based on three-dimensional images captured with modern range sensors like e.g. high-resolution laser scanners. As result, objects are tracked and a detailed 3D model is built for each object and for the static environment. The performance is demonstrated in challenging urban environments that contain many different objects


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    Title :

    Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors


    Contributors:

    Publication date :

    2013


    Size :

    1 electronic resource (XVIII, 128 p. p.)



    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors

    Moosmann, Frank | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2013

    Free access



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    Siew, Peng Mun / Linares, Richard / Bageshwar, Vibhor | British Library Conference Proceedings | 2018