Techniques for fusing sensor data generated by different sensor modalities to improve object detections and object predictions determined by low-level systems of a vehicle. The techniques may include determining feature maps based on sensor data generated by different sensor modalities associated with a vehicle. In some examples, the feature maps may include at least a first feature map indicative of a location of an object in an environment of the vehicle and a second feature map indicative of elevation information associated with the object. The techniques may also include inputting the first feature map and the second feature map into a machine-learned model associated with the low-level system of the vehicle. In some examples, an output may be received from the machine-learned model that includes an occupancy grid, and the occupancy grid may exclude representation(s) associated with over-drivable object(s) and/or under-drivable object(s) that may be disposed in the environment.


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    Titel :

    Sensor fusion for object detection


    Beteiligte:
    HENDY NOURELDIN EHAB (Autor:in) / GAO XIANG (Autor:in) / TAN LI YON (Autor:in) / WIENER ERIC CARL DARIA (Autor:in) / ZHANG YIHANG (Autor:in)

    Erscheinungsdatum :

    08.07.2025


    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 / G01S RADIO DIRECTION-FINDING , Funkpeilung



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