This paper presents a model for velocity control in blind corners and intersections based on expert driver data. Accurate expert driver data was collected with a car equipped with a 3D LiDAR and high definition maps. A model based on human expert driver data is used to control the velocity of the ego-vehicle when facing blind intersections. The model regulates ego-vehicle velocity based on the visibility of the road at the blind intersection. As the vehicle approximates the intersection and crossing roads are not visible, the vehicle slows down, then as the roads become visible the vehicle accelerates. Experimental results show the performance of the velocity model compared towards 270 trajectories taken from 7 expert drivers towards 6 different intersections without mandatory stops.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Proactive driving modeling in blind intersections based on expert driver data


    Contributors:


    Publication date :

    2017-06-01


    Size :

    1831885 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Proactive Driving Modeling in Blind Intersections Based on Expert Driver Data

    Saiki, Morales / Yoshihara, Yuki / Akai, Naoki et al. | British Library Conference Proceedings | 2017


    Towards Predictive Driving through Blind Intersections

    Morales, Luis Yoichi / Naoki, Akai / Yoshihara, Yuki et al. | IEEE | 2018


    PROACTIVE DRIVER WARNING

    BONHOMME JEROME | European Patent Office | 2017

    Free access

    Proactive driver warning

    BONHOMME JEROME | European Patent Office | 2016

    Free access

    PROACTIVE DRIVER WARNING

    BONHOMME JEROME | European Patent Office | 2025

    Free access