This paper presents an approach of human-vehicle cooperative navigation system as an implementation of Advanced Driving Assistance Systems (ADAS). The driver-in-the-loop system contains commands by a human driver, which are verified and corrected by the interactive navigation algorithm based on Image-based Dynamic Window Approach (IDWA). Several autonomous driving components are involved including Visual Servoing controllers and Occupancy Grid, with the help of environment perception sensors and approaches. The validation of the algorithm as well as the parameter regulation strategy is carried out in the simulative environment of SCANeRTM Studio.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Human-vehicle cooperative driving using Image-based Dynamic Window Approach: System design and simulation


    Beteiligte:


    Erscheinungsdatum :

    01.11.2016


    Format / Umfang :

    409038 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Dynamic obstacles avoidance based on image-based dynamic window approach for human-vehicle interaction

    Kang, Yue / de Lima, Danilo Alves / Victorino, Alessandro Correa | IEEE | 2015


    AN APPROACH OF HUMAN DRIVING BEHAVIOR CORRECTION BASED ON DYNAMIC WINDOW APPROACH

    Kang, Y. / Lima, A. / Victorino, A. et al. | British Library Conference Proceedings | 2014


    IMAGE-BASED VEHICLE DRIVING SIMULATION SYSTEM AND METHOD

    CHAE JEONG HUN | Europäisches Patentamt | 2023

    Freier Zugriff


    Vehicle-road cooperative auxiliary driving system

    ZHANG YUNSHUN / XIE QISHUAI / GAO MINGLEI et al. | Europäisches Patentamt | 2021

    Freier Zugriff