Transactions of Society of Automotive Engineers of Japan
Online ISSN : 1883-0811
Print ISSN : 0287-8321
ISSN-L : 0287-8321
Research Paper
Development of Pedestrian Collision Avoidance System Based on Crosswalk Recognition by an On-Board Camera
Pongsathorn RaksincharoensakYuichi SakaiIkuko ShimizuMasao NagaiDirk UlbrichtRolf Adomat
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2014 Volume 45 Issue 2 Pages 375-380

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Abstract
This paper proposes a collision warning system based on crosswalk detection and pedestrian detection by using a monocular camera to prevent crashes with pedestrians. First, the paper describes a crosswalk detection algorithm which includes the edge extraction process and the cross ratio feature calculation. Next, based on the position of the detected crosswalk, the paper proposes two pedestrian detection algorithms, one is based on the object motion and the other one based on the crosswalk brightness pattern. The performance of each algorithm is evaluated from the viewpoint of computation time and recognition rate. Finally, A visual and auditory warning system based on detection result is presented and its feasibility is examined by test drives by the experimental vehicle.
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© 2014 Society of Automotive Engineers of Japan, Inc.
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