A lane detection approach based on intelligent vision. (February 2015)

• Record Type: Journal Article
• Authors: Yi, Shu-Chung; Chen, Yeong-Chin; Chang, Ching-Haur
• Is Part Of: Computers & electrical engineering. Volume 42(2015)
• Page Start: 23
• Page End: 29
• Publication Date: 2015-02
• Subjects: Lane departure -- Lane detection -- Image processing -- Intelligent transportation system (ITS); Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2015.01.002
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: This paper proposes driver assistant system architecture based on image processing techniques. A camera is mounted on the vehicle front window to detect the road lane markings and determine the vehicle's position with respect to the lane lines. A modified approach is proposed to accelerate the HT process in a computationally efficient manner, thereby making it suitable for real-time lane detection. The acquired image sequences are analyzed and processed by the proposed system, which automatically detects the lane lines. The experimental results show that the system works successfully for lane line detection and lane departure prediction.