Detection of Geometric Shape for Traffic Lane and Mark
文献类型：会议论文
| 作者 | Xian Liu; Gang Wang; Jingsheng Liao; Baopu Li; Qing He; Max Q. -H. Meng |
| 出版日期 | 2012 |
| 会议名称 | IEEE International Conference on Information and Automation (ICIA) |
| 会议地点 | 中国 |
| 英文摘要 | Traffic lane and mark are geometric shapes of road. Detection of geometric shapes is an essential component of autonomous urban driving system. In this paper, we introduce a method to detect geometric shape for traffic lane and mark. This method contains four steps. First, we apply HSV color space, histogram equalization and Otsu algorithm for image preprocessing. Then we use Canny algorithm and Progressive Probabilistic Hough Transform algorithm finding an optimal position of lane in image. Then by using Kalman filter model, we update and track lane marking lines. Finally we use template matching method to detect shape of traffic mark. We introduce normalized cross-correlation to recognize the traffic signs. Experiment results demonstrate that the proposed scheme can detect geometric shape for traffic lane and mark effectively. Index Terms – geometric shape; lane detection; traffic mark; normalized cross-correlation. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3867]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Xian Liu,Gang Wang,Jingsheng Liao,et al. Detection of Geometric Shape for Traffic Lane and Mark[C]. 见:IEEE International Conference on Information and Automation (ICIA) . 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
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