Title :
A robust lane detection method in the different scenarios
Author :
Zhe, Xu ; Zhifeng, Li
Author_Institution :
Acad. of Electron. Inf. & Control, Beijing Univ. of Technol., Beijing, China
Abstract :
Road recognition is critical for safe driving and intelligent vehicles. In order to improve the real-time and stability of lane recognition, a robust road recognition algorithm based on improved Canny and Progressive Probabilistic Hough Transform (PPHT) is proposed in this paper, Experiments prove accuracy of the lane recognition and high real-time capability in the different scenarios.
Keywords :
Hough transforms; automated highways; edge detection; object detection; object recognition; probability; road safety; Canny operator; PPHT; driving safety; intelligent vehicles; lane recognition; progressive probabilistic Hough transform; robust lane detection method; robust road recognition algorithm; Histograms; Image edge detection; Noise; Probabilistic logic; Roads; Transforms; Canny operator; Gradient histogram; Progressive Probabilistic Hough Transform(PPHT); lane recognition;
Conference_Titel :
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1275-2
DOI :
10.1109/ICMA.2012.6284334
