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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chao Ma Ling Mao Yuefei Zhang Mei Xie |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Electronic Engineering/UESTC/Chengdu, Sichuan, China (Chao Ma; Ling Mao; Yuefei Zhang; Mei Xie) |
| Abstract | Concerning the problem of lane detection in the Lane Departure Warning (LDW) system, this paper uses Heuristic Search Methods to detect the lane boundary points based on the CIELab color features clustering. Color space providing us more precious information than gray scale, and Heuristic Search Methods narrowing the search region, this algorithm is robust and adaptive to the actual road conditions. According to the geometry structure of super highway, quadratic curve is adopted to match the lane. At last, use Simulink, the Signal Processing Blockset, and the Video and Image Processing Blockset developing lane detection and tracking model. |
| Starting Page | 368 |
| Ending Page | 372 |
| File Size | 1582986 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424482245 |
| e-ISBN | 9781424482252 |
| DOI | 10.1109/ICCCAS.2010.5581982 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-28 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Chaos Image segmentation Object segmentation Educational institutions Nickel |
| Content Type | Text |
| Resource Type | Article |
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