This paper proposes a multi-level collaborative driving framework (MCDF) for human-autonomous vehicle interaction. There are three components in MCDF; the mission-behavior-motion block diagram, the functionality-module relationship and the human participation level table. Through integration of the three components, a human driver can cooperate with the vehicle's intelligence to achieve better driving performance, robustness and safety. The MCDF is successfully implemented in TROCS, a real-time autonomous vehicle control system developed by the Tartan Racing Team for the 2007 DARPA Urban Challenge. The performance of MCDF is analyzed and a preliminary test in TROCS simulation mode shows that MCDF is effective in improving the driving performance.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A multi-level collaborative driving framework for autonomous vehicles


    Beteiligte:
    Wei, Junqing (Autor:in) / Dolan, John M. (Autor:in)


    Erscheinungsdatum :

    01.09.2009


    Format / Umfang :

    428250 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    COLLABORATIVE SAFETY DRIVING MODEL FOR AUTONOMOUS VEHICLES

    ALVAREZ IGNACIO / BUERKLE CORNELIUS / ELLI MARIA SOLEDAD et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    COLLABORATIVE SAFETY DRIVING MODEL FOR AUTONOMOUS VEHICLES

    ALVAREZ IGNACIO J / BUERKLE CORNELIUS / ELLI MARIA SOLEDAD et al. | Europäisches Patentamt | 2021

    Freier Zugriff


    COLLABORATIVE SAFETY DRIVING MODEL (SDM) FOR AUTONOMOUS VEHICLES

    SIVANESAN KATHIRAVETPILLAI / BUERKLE CORNELIUS / JAH SATISH CHANDRA et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Sensor aggregation framework for autonomous driving vehicles

    ZHANG LIANGLIANG / LI DONG / HU JIANGTAO et al. | Europäisches Patentamt | 2024

    Freier Zugriff