The DARPA Urban Challenge was a competition to develop autonomous vehicles capable of safely, reliably, and robustly driving in traffic. In this article we introduce Boss, the autonomous vehicle that won the challenge. Boss is a complex artificially intelligent software system embodied in a 2007 Chevy Tahoe. To navigate safely, the vehicle builds a model of the world around it in real time. This model is used to generate safe routes and motion plans both on roads and in unstructured zones. An essential part of Boss's success stems from its ability to safely handle both abnormal situations and system glitches.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Autonomous Driving in Traffic: Boss and the Urban Challenge


    Beteiligte:
    C. Urmson (Autor:in) / C. Baker (Autor:in) / J. Dolan (Autor:in) / P. Rybski (Autor:in) / B. Salesky (Autor:in)

    Erscheinungsdatum :

    2009


    Format / Umfang :

    13 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Autonomous driving in urban environments: Boss and the Urban Challenge

    Urmson, C. / Anhalt, J. / Bagnell, D. et al. | British Library Online Contents | 2008



    Darpa Urban Challenge 2007 - safe and autonomous driving

    Schedel,R. / Carnegie Mellon Univ.,US / General Motors,US et al. | Kraftfahrwesen | 2008


    Simulating Autonomous Driving in Massive Mixed Urban Traffic

    Luo, Yuanfu / Cai, Panpan / Lee, Yiyuan et al. | ArXiv | 2020

    Freier Zugriff

    Traffic Mirror-Aware POMDP Behavior Planning for Autonomous Urban Driving

    Zhang, Chi / Steinhauser, Florian / Hinz, Gereon et al. | IEEE | 2022