A system and method for predicting driving actions based on intent-aware driving models that include receiving at least one image of a driving scene of an ego vehicle. The system and method also include analyzing the at least one image to detect and track dynamic objects located within the driving scene and to detect and identify driving scene characteristics associated with the driving scene and processing an ego-thing graph associated with the dynamic objects and an ego-stuff graph associated with the driving scene characteristics. The system and method further include predicting a driver stimulus action based on a fusion of representations of the ego-thing graph and the ego-stuff graph and a driver intention action based on an intention representation associated with driving intentions of a driver of the ego vehicle.


    Access

    Download


    Export, share and cite



    Title :

    DRIVER-CENTRIC RISK ASSESSMENT: RISK OBJECT IDENTIFICATION VIA CAUSAL INFERENCE WITH INTENT-AWARE DRIVING MODELS


    Contributors:
    LI CHENGXI (author) / CHEN YI-TING (author)

    Publication date :

    2021-08-26


    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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V




    Driver Intent Inference and Risk Assessment

    Liebner, Martin / Klanner, Felix | Springer Verlag | 2015


    Generic driver intent inference based on parametric models

    Liebner, Martin / Ruhhammer, Christian / Klanner, Felix et al. | IEEE | 2013



    Predicting Driver Intent from Models of Naturalistic Driving

    Bender, Asher / Ward, James R. / Worrall, Stewart et al. | IEEE | 2015