This paper describes a vision-based system for autonomous urban transport missions in outdoor environments. Vision-based specialised tasks are implemented for particular functionalities such as lane tracking, and navigation along intersections. High level knowledge about goals and intentions is extracted from an a priori map so as to schedule the global mission and to direct the behaviours of the low-level perception and actuation modules.


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    Title :

    Vision-based navigation system for autonomous urban transport vehicles in outdoor environments


    Contributors:

    Published in:

    Publication date :

    2002-01-01


    Size :

    393992 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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