Real-time on-road vehicle and motorcycle detection using a single camera

A real-time monocular vision based rear vehicle and motorcycle detection and tracking approach is presented for lane change assistant (LCA). To achieve robustness and accuracy this work detects and tracks multiple vehicles and motorcycles on road by combining multiple cues. To achieve real-time multi-resolution technology is used to reduce computing complexity, and all algorithms have been implemented on an IMAP (integrated memory array processor) parallel vision board. The test results under various traffic scenes illustrated accuracy, robustness and real-time of this work.