Vision-Based Road Detection by Adaptive Region Segmentation and Edge Constraint

被引：10
|
作者：
Wang, Yanqing [1 ]
Chen, Deyun [1 ]
Shi, Chaoxia [2 ]
机构：
[1] Harbin Univ Sci & Technol, Sch Comp Sci & Technol, Harbin 150080, Heilongjiang, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Comp Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China
来源：
2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL I, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/IITA.2008.203
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel vision-based road detection method was proposed in this paper to realize visual guiding navigation for ground mobile vehicles in outdoor environments. The road region was first segmented from the jumbled backgrounds by using an adaptive threshold segmentation algorithm named OTSU Subsequently, the Canny edges extracted in grey images would be filtered in the road region so that the road boundary could be recognized accurately by reducing the unnecessary disturbances from the useless edge existed in background By combining the detection algorithm of both road region and road boundary, the road detection method proposed in this paper was robust against strong shadows, surface dilapidation and illumination variations. It has been tested on real ground mobile vehicle and performed well in real road environments.
引用
收藏
页码：342 / +
页数：2
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