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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jin Li-sheng Guo Lie Yu Tian-hong Wang Rong-ben Zhao Yi-bing |
| Copyright Year | 2006 |
| Description | Author affiliation: Jilin Univ., Changchun (Jin Li-sheng; Guo Lie; Yu Tian-hong; Wang Rong-ben; Zhao Yi-bing) |
| Abstract | In order to identify navigation lane for an intelligent vehicle more rapidly and exactly, the lane mark edge lines are firstly detected based on Zernike moments, and then lane mark feature points are gained according to certain characters. Based on these points, lane mark line parameters can be acquired rapidly and exactly by using linear regression algorithm. Finally lane mark real-time tracking is realized by applying trapezoid AOI method. Experimental results show that the proposed method has better reliability, robustness and real time. |
| Starting Page | 88 |
| Ending Page | 92 |
| File Size | 4321100 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424407583 |
| DOI | 10.1109/ICVES.2006.371560 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Navigation Intelligent vehicles Image edge detection Vehicle detection Roads Integral equations Linear regression Robustness Nuclear magnetic resonance Testing |
| Content Type | Text |
| Resource Type | Article |
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