Name
Abstract | ||
|---|---|---|
A lane-detection method aimed at handling moving vehicles in the traffic scenes is proposed in this brief. First, lane marks are extracted based on color information. The extraction of lane-mark colors is designed in a way that is not affected by illumination changes and the proportion of space that vehicles on the road occupy. Next, for vehicles that have the same colors as the lane marks, we utilize size, shape, and motion information to distinguish them from the real lane marks. The mechanism effectively eliminates the influence of passing vehicles when performing lane detection. Finally, pixels in the extracted lane-mark mask are accumulated to find the boundary lines of the lane. The proposed algorithm is able to robustly find the left and right boundary lines of the lane and is not affected by the passing traffic. Experimental results show that the proposed method works well on marked roads in various lighting conditions |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TITS.2006.883940 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
lane-mark color,color information,lane detection,boundary line,lane-mark mask,traffic scenes,lane-detection method,real lane mark,proposed algorithm,lane mark,occupational safety,computer vision,intelligent transportation system,ergonomics,intelligent transportation systems,testing,injury prevention,suicide prevention,human factors | Object detection,Computer vision,Simulation,Road traffic,Lane detection,Vehicle dynamics,Artificial intelligence,Pixel,Engineering,Intelligent transportation system,Luminance,Color image | Journal |
Volume | Issue | ISSN |
7 | 4 | 1524-9050 |
Citations | PageRank | References |
69 | 3.84 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsu-Yung Cheng | 1 | 243 | 23.56 |
| Bor-Shenn Jeng | 2 | 179 | 18.57 |
| Pei-Ting Tseng | 3 | 69 | 3.84 |
| K. -C. Fan | 4 | 69 | 3.84 |