Methods, apparatus, and systems for adaptive point cloud filtering for an autonomous vehicle are disclosed. At least one processor receives multiple LiDAR points from a LiDAR system. The multiple LiDAR points represent at least one object in an environment traveled by the vehicle. The at least one processor determines a Euclidean distance of each LiDAR point. The at least one processor compares the Euclidean distance of each LiDAR point with a respective sampled Euclidean distance from a standard normal distribution of Euclidean distances. Responsive to the Euclidean distance of a LiDAR point being less than the respective sampled Euclidean distance, the at least one processor removes the LiDAR point from the multiple LiDAR points to generate a point cloud. The at least one processor operates the vehicle based on the point cloud.


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    Title :

    ADAPTIVE POINT CLOUD GENERATION FOR AUTONOMOUS VEHICLES


    Contributors:
    WANG YIMU (author) / XU NING (author)

    Publication date :

    2022-10-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G01S RADIO DIRECTION-FINDING , Funkpeilung / 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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