In the paper a fast and consistent method to manage uncertainties on detected traffic agents providing reliable results is presented. The information provided by a LiDAR-based object detector is combined with a high-definition map to identify the drivable space of the carriageway. Because the use of a HD map requires the use of a localization system, the uncertainty of the estimated pose shall be handled carefully. A novel approach taking into account the localization uncertainty in the perception task by direct propagation of it onto the LiDAR points is proposed. It is compared with a classical propagation that relies on linearized approximation. The good performances of this approach in terms of integrity are demonstrated by the use of real data acquired at the entrance of a roundabout being a particularly complex situation.


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    Titel :

    High Integrity Lane-level Occupancy Estimation of Road Obstacles Through LiDAR and HD Map Data Fusion


    Beteiligte:
    Bernardi, Edoardo (Autor:in) / Masi, Stefano (Autor:in) / Xu, Philippe (Autor:in) / Bonnifait, Philippe (Autor:in)


    Erscheinungsdatum :

    19.10.2020


    Format / Umfang :

    836601 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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