Algorithm of Lane Detection on an Appropriate Limited Region

• Published in: Applied Mechanics and Materials Vol. 433-435; no. Advances in Mechatronics and Control Engineering II; pp. 267 - 272
• Main Authors: Ma, Xing, Mu, Chun Yang, Zhang, Lu Ming, Zhang, Chun Tao
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 15.10.2013
• Subjects: Algorithms; Boundaries; Computer simulation; Hough transformation; Image segmentation; Lanes; Markers; Matlab; Roads; Segmentation; Urban environments; Limited Region of Interest; Lane Detection; Hough Transform (HT); Feature-Based Method
• ISBN: 303785894X; 9783037858943
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.433-435.267

This paper proposed a lane detection algorithm for urban environment. The algorithm was concerned on selecting an appropriate limited region of interest (ROI) by OTSU segmentation. Then candidates of lane markers were extracted by Canny, finally the lane boundaries were detected by Hough transform. The limited ROI helps to identification lane in an appropriate region. This process have the effect of enhancement in the speed of operation. The proposed algorithm was simulated in MATLAB. The test databases were shared by Fondazione Bruno Kessler (FBK). The experiments show that lane boundaries can be detected correctly although they are fade. Feature-based method is usually affected by intension of image. Several characteristics of roads need to be considered further for detection more precisely.