Title :
Lane detection algorithm using vanishing point
Author :
Wang Jingyu ; Duan Jianmin
Author_Institution :
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
Abstract :
This paper presents a lane detection method to screen data using the vanishing point according to the perspective feature of the camera. The line data is obtained after Canny and Hough transform of the raw image. The filter conditions are created according to the vanishing point and other location features. The algorithm saves the detected lane and vanishing points in near history. The algorithm clusters and integrates to determine the detection output according to the historical data. Finally, according to the output, a new vanishing point is fitted for the next circuit. The experiments indicate that the algorithm detects the lane accurately and is of parameters self-adaptability and robustness, while improving the utilization of the internal data.
Keywords :
Hough transforms; filtering theory; image sensors; object detection; traffic engineering computing; Canny transform; Hough transform; camera feature; filter conditions; intelligent vehicle driving; internal data utilization improvement; lane detection algorithm; lane warning system; vanishing point; Abstracts; Robustness; Runtime; Canny transform; Hough transform; lane detection; screen; vanishing point;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890384