Road detection at night based on a planar reflection model
文献类型：会议论文
| 作者 | Cheng Tang; Qunqun Xie; Guolai Jiang; Yongsheng Ou; Yangsheng Xu |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE International Conference on Information and Automation, ICIA 2013 |
| 会议地点 | Yinchuan, China |
| 英文摘要 | For surveillance robots, road detection is of high importance for other functionalities such as pedestrian detection, obstacle avoidance, autonomous running, etc. The vision-based road detection is to classify image pixels belonging to road surface or not. Up to now, most algorithms are designed for working during daytime. In this paper, we focus on road detection at night. Firstly a planar reflection model is used to fit the intensity distribution of the images pixels got from a near-infrared camera. After that, we use a pixel-based classification to determine whether the pixel belongs to the road surface or not. In the experiments, we compare our algorithm with the region growing method. The results show that our approach works better in several aspects. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4625]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Cheng Tang,Qunqun Xie,Guolai Jiang,et al. Road detection at night based on a planar reflection model[C]. 见:2013 IEEE International Conference on Information and Automation, ICIA 2013. Yinchuan, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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