This paper describes a monocular vision based parking-slot-markings recognition algorithm, which is used to automate the target position selection of automatic parking assist system. Peak-pair detection and clustering in Hough space recognize marking lines. Specially, one-dimensional filter in Hough space is designed to utilize a priori knowledge about the characteristics of marking lines in bird's eye view edge image. Modified distance between point and line-segment is used to distinguish guideline from recognized marking line-segments. Once the guideline is successfully recognized, T-shape template matching easily recognizes dividing marking line-segments. Experiments show that proposed algorithm successfully recognizes parking slots even when adjacent vehicles occlude parking-slot-markings severely.


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    Title :

    Parking Slot Markings Recognition for Automatic Parking Assist System


    Contributors:
    Ho Gi Jung, (author) / Dong Suk Kim, (author) / Pal Joo Yoon, (author) / Jaihie Kim, (author)


    Publication date :

    2006-01-01


    Size :

    5445041 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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