According to one aspect, an autonomous vehicle that includes a lidar unit collects lidar point cloud data that includes false returns or false positives, and characterizes the data associated with the false returns or false positives as drivable or not drivable. The false returns or false positives may be phantom points that are not associated with actual objects which may pose collision risks. Analyzing lidar point cloud data to characterize false returns or false positives as either drivable or not drivable enables an autonomous vehicle to operate efficiently by not having to avoid non-existent collision risks. False positives may be indicated when a wet or icy road surface acts as a mirror which reflects objects, and when precipitation such as raindrops appear as objects. Characterizing such false positives as drivable facilitates the efficient operation of an autonomous vehicle as the autonomous vehicle may drive over a mirror and/or through precipitation.


    Access

    Download


    Export, share and cite



    Title :

    METHODS AND APPARATUS FOR CHARACTERIZING POINT CLOUD DATA FOR AUTONOMOUS VEHICLE SYSTEMS


    Contributors:
    GENG KUN (author) / CHENG FRANK (author) / LI HAO (author) / SARETT MATTHEW JEREMY (author)

    Publication date :

    2023-04-20


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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



    Methods and apparatus for characterizing point cloud data for autonomous vehicle systems

    GENG KUN / CHENG FRANK / LI HAO et al. | European Patent Office | 2024

    Free access

    SYSTEMS AND METHODS FOR AUTONOMOUS VEHICLE ANCHOR POINT TRACKING

    WHITE JACOB | European Patent Office | 2025

    Free access

    AUTONOMOUS VEHICLE CLOUD SYSTEM

    RAN BIN / ZHENG YUAN / WANG CAN et al. | European Patent Office | 2024

    Free access

    Autonomous vehicle cloud system

    RAN BIN / ZHENG YUAN / WANG CAN et al. | European Patent Office | 2025

    Free access

    POINT CLOUD SEGMENTATION USING A COHERENT LIDAR FOR AUTONOMOUS VEHICLE APPLICATIONS

    ARMSTRONG-CREWS NICHOLAS / CHEN MINGCHENG / HU XIAOXIANG | European Patent Office | 2022

    Free access