In various examples, systems and methods are disclosed relating to refinement of safety zones and improving evaluation metrics for the perception modules of autonomous and semi-autonomous systems. Example implementations can exclude areas in the state space that are not safety critical, while retaining the areas that are safety-critical. This can be accomplished by leveraging ego maneuver information and conditioning safety zone computations on ego maneuvers. A maneuver-based decomposition of perception safety zones may leverage a temporal convolution operation with the capability to account for collision at any intermediate time along the way to maneuver completion. This provides a significant reduction in zone volume while maintaining completeness, thus optimizing or otherwise enhancing obstacle perception performance requirements by filtering out regions of state space not relevant to a system's route of travel. Computation of safety-zones conditioned on the ego maneuver greatly reduces excessive conservatism.


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    Titel :

    DETERMINING OBSTACLE PERCEPTION SAFETY ZONES FOR AUTONOMOUS SYSTEMS AND APPLICATIONS


    Beteiligte:
    TOPAN SEVER IOAN (Autor:in) / CHEN YUXIAO (Autor:in) / SCHMERLING EDWARD FU (Autor:in) / LEUNG KAREN YAN MING (Autor:in) / NILSSON HANS JONAS (Autor:in) / COX MICHAEL (Autor:in) / PAVONE MARCO (Autor:in)

    Erscheinungsdatum :

    05.12.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion



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