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Overtaking Vehicle Detection Method and Its Implementation Using IMAPCAR Highly Parallel Image Processor
Kazuyuki SAKURAI Shorin KYO Shin'ichiro OKAZAKI
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/07/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Machine Vision and its Applications)
overtaking vehicle detection, image recognition, image processor, optical flow, Hough transform,
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This paper describes the real-time implementation of a vision-based overtaking vehicle detection method for driver assistance systems using IMAPCAR, a highly parallel SIMD linear array processor. The implemented overtaking vehicle detection method is based on optical flows detected by block matching using SAD and detection of the flows' vanishing point. The implementation is done efficiently by taking advantage of the parallel SIMD architecture of IMAPCAR. As a result, video-rate (33 frames/s) implementation could be achieved.