The 2005 DARPA Grand Challenge, a 212-kilometer race through the Mojave Desert, showcased the state of the art in high-speed, autonomous navigation of trails and roads. To win the challenge, a team's robot had to complete the course faster than any other robot, and it had to do so within 10 hours. Carnegie Mellon University's Red Team developed two robots, which used a combination of autonomous and human preplanning to become two of only four robots to complete the Grand Challenge. The robots used onboard sensors to adjust a preplanned route to avoid obstacles and correct for position-estimation errors. To be successful, teams had to develop innovative algorithms and systems - and rigorously test them to verify performance. The Red Team used the tests regressively to evaluate how unit changes in hardware and software affected the robots' overall driving ability.


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    Titel :

    Testing driver skill for high-speed autonomous vehicles


    Beteiligte:
    Urmson, C. (Autor:in) / Whittaker, W. (Autor:in) / Harbaugh, S. (Autor:in) / Clark, M. (Autor:in) / Koon, P. (Autor:in)

    Erschienen in:

    Computer, Long Beach ; 39 , 12 ; 48-51


    Erscheinungsdatum :

    2006


    Format / Umfang :

    4 Seiten, 3 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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