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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    Title :

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



    Published in:

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


    Publication date :

    2014-05-23


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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