The safety traffic of intellectual vehicles is mainly carried out through environmental sensory perceptual system. This thesis uses the data collected by the vehicle-mounted laser radar and puts forward to a kind of improved straight-line feature pick-up algorithm SEF-LSM-BO. It experiments on the four kinds of algorithm using the same frame of laser radar data. It turns out that compared with SEF, LSM and SEF-LSM; SEF-LSM-BO can quickly and accurately detect and merge boundaries, mark surrounding obstacles and provide traversable areas.


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    Titel :

    The Detection Fusion Algorithm of Intellectual Vehicles Based on Laser Radar in Traversable Areas



    Erschienen in:

    Applied Mechanics and Materials ; 556-562 ; 3065-3068


    Erscheinungsdatum :

    2014-05-23


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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