The Navlab group at Carnegie Mellon University has a long history of development of automated vehicles and intelligent systems for driver assistance. The earlier work of the group concentrated on road following, cross-country driving, and obstacle detection. The new focus is on short-range sensing, to look all around the vehicle for safe driving. The current system uses video sensing, laser rangefinders, a novel light-stripe rangefinder, software to process each sensor individually, a map-based fusion system, and a probability based predictive model. The complete system has been demonstrated on the Navlab 11 vehicle for monitoring the environment of a vehicle driving through a cluttered urban environment, detecting and tracking fixed objects, moving objects, pedestrians, curbs, and roads.


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    Titel :

    Perception for collision avoidance and autonomous driving


    Beteiligte:
    Aufrere, R. (Autor:in) / Gowdy, J. (Autor:in) / Mertz, C. (Autor:in) / Thorpe, C. (Autor:in) / Wang, Chieh-Chih (Autor:in) / Yata, T. (Autor:in)

    Erschienen in:

    Mechatronics ; 13 , 10 SPEC. ; 1149-1161


    Erscheinungsdatum :

    2003


    Format / Umfang :

    13 Seiten, 35 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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