Reliable and precise object tracking is an essential requirement for automated driving. The majority of LiDAR-based tracking algorithms resort to raw range measurements only. In contrast, we propose a novel method to extract compact and salient features from LiDAR intensities. Using the example of an evasive steering maneuver of a leading vehicle, we show that leveraging these intensity features allows for a more accurate estimation of object states. The resulting early detection of target object rotation allows an automated driving system additional time for deriving an appropriate driving policy.


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    Titel :

    Utilizing LiDAR Intensity in Object Tracking


    Beteiligte:


    Erscheinungsdatum :

    01.06.2019


    Format / Umfang :

    723989 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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