A robust lane boundaries detection algorithm based on gradient distribution features
The paper presents a lane boundaries detection algorithm based on gradient distribution features. Firstly, a combination of EDF and Hough transform is used to obtain the linear models of lane boundaries. Secondly, without any prior knowledge, the width of road, the middle point of road and the other parameters are computed based on the linear models. Finally, bi-directional sliding window technique is applied to detect real lane markings. Experimental results indicate that the proposed method can enhance the adaptability to deal with the random and dynamic environment of road scenes, such as curved lane markings, sparse shadows, object occlusions and bad conditions of road painting.
Lane detection gradient distribution features edge distribution function Hough transform bi-directional sliding window lane departure warning system
Yanjun Fan Weigong Zhang Xu Li Lei Zhang Zhuo Cheng
School of Instrument Science and Engineering Southeast University Nanjing, China, 210096 Department of Computer Science and Technology China Jiliang University Hangzhou, China, 310018
国际会议
上海
英文
1764-1768
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）