A method for determining wetness on a path of travel. A surface of the path of travel is captured by at least one image capture device. A plurality of wet surface detection techniques is applied to the at least one image. An analysis for each wet surface detection technique is determined in real-time of whether the surface of the path of travel is wet. Each analysis independently determines whether the path of travel is wet. Each analysis by each wet surface detection technique is input to a fusion and decision making module. Each analysis determined by each wet surface detection technique is weighted within the fusion and decision making module by comprehensive analysis of weather information, geology information, and vehicle motions. A wet surface detection signal is provided to a control device. The control device applies the wet surface detection signal to mitigate the wet surface condition.


    Access

    Download


    Export, share and cite



    Title :

    FUSION-BASED WET ROAD SURFACE DETECTION


    Contributors:

    Publication date :

    2018-03-01


    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 / G06V



    Fusion-based wet road surface detection

    ZHAO QINGRONG / LITKOUHI BAKHTIAR B / ZHANG QI et al. | European Patent Office | 2019

    Free access

    Road surface condition detection with multi-scale fusion

    TONG WEI / ZHAO QINGRONG / LITKOUHI BAKHTIAR B et al. | European Patent Office | 2018

    Free access

    ROAD SURFACE CONDITION DETECTION WITH MULTI-SCALE FUSION

    TONG WEI / ZHAO QINGRONG / LITKOUHI BAKHTIAR B et al. | European Patent Office | 2017

    Free access

    CRF based road detection with multi-sensor fusion

    Xiao, Liang / Dai, Bin / Liu, Daxue et al. | IEEE | 2015