Computer vision-based fast forward vehicle detection and warning system

• Main Authors: Fu-Hsiang Chi, 紀富翔
• Other Authors: Tsung-Ying Sun
• Format: Others
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/06211556392983284296

碩士 === 國立東華大學 === 電機工程學系 === 101 === Based on the inertia lane marking and tracking, this study presents a fast forward vehicle distance warning system at daylight and night environment, which utilizes CCD camera to capture the moving image and detect the lane marking. Following the result of inertia lane detection, forward vehicle could be detected in the region of lane-marking of road image. The mechanism of forward vehicle detection is divided by daylight and night time. In the daylight time, the bottom shadow of forward vehicle is regard as a major feature. Following YCbCr color model, a suitable region of interest could be segmented to detect the location of low luminance of object and recognize as forward vehicle. In the night time, the rear light and high brightness object is the major feature of forward vehicle. Following RGB color model, a suitable region of interest for high brightness object could be recognized as the location of forward vehicle. Finally, the identified location of forward vehicle can calculate actual distance between the host and the forward vehicle by slope approximation method. Ten-meter is regards as a reminder that the distance reaches alerts purpose. In this thesis, the proposed algorithms has been implemented in TI DM648 SoC platform and has successfully tested with very good results.