An apparatus includes a processor configured to be disposed with a vehicle and a memory coupled to the processor. The memory stores instructions to cause the processor to receive, at least two of: radar data, camera data, lidar data, or sonar data. The sensor data is associated with a predefined region of a vicinity of the vehicle while the vehicle is traveling during a first time period. At least a portion of the vehicle is positioned within the predefined region during the first time period. The method also includes detecting that no other vehicle is present within the predefined region. An environment of the vehicle during the first time period is classified as one state from a set of states that includes at least one of dry, light rain, heavy rain, light snow, or heavy snow, based on at least two of the sensor data to produce an environment classification. An operational parameter of the vehicle based on the environment classification is modified.


    Access

    Download


    Export, share and cite



    Title :

    Sensor fusion for precipitation detection and control of vehicles


    Contributors:

    Publication date :

    2023-05-09


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06V / 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



    SENSOR FUSION FOR PRECIPITATION DETECTION AND CONTROL OF VEHICLES

    GUPTA MAYANK / GANGULI ANURAG / DALY JR et al. | European Patent Office | 2023

    Free access

    Sensor fusion for precipitation detection and control of vehicles

    GUPTA MAYANK / GANGULI ANURAG / DALY JR TIMOTHY P et al. | European Patent Office | 2023

    Free access

    Vehicles detection using sensor fusion

    Takizawa, H. / Yamada, K. / Ito, T. | IEEE | 2004


    Vehicles Detection using Sensor Fusion

    Takizawa, H. / Yamada, K. / Ito, T. et al. | British Library Conference Proceedings | 2004


    Sensor fusion for localization of automated vehicles

    Merfels, Christian / Rheinische Friedrich-Wilhelms-Universität Bonn, Institut für Geodäsie und Geoinformation / Rheinische Friedrich-Wilhelms-Universität Bonn | TIBKAT | 2020

    Free access