Algorithm of Lane Detection on an Appropriate Limited Region

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 433-435)
• Pages: 267-272
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.433-435.267
• Online since: October 2013
• Authors: Xing Ma, Chun Yang Mu, Chun Tao Zhang, Lu Ming Zhang
• Keywords: Feature-Based Method, Hough Transform (HT), Lane Detection, Limited Region of Interest

References

[1] R. H. Zhang, H. W. Wang, X. Zhou, etc.: Information Technology Journal, vol. 11 (2012), p.642.

[2] A. Borkar, M. Hayes, M. T. Smith: IEEE Trans. Intelligent Transportation Systems, vol. 13 (2012), p.365.

[3] C. R. Jung, C. R. Kelber: A robust linear-parabolic model for lane following, Processing of the 2004 IEEE 17th Brazilian Symposium on Computer Graphics and Image on. IEEE, (2004), p.72.

DOI: 10.1109/sibgra.2004.1352945

[4] C. Y. Chen, C. H. Chen, Z. X. Dai: Advanced Science Letters, vol. 9 (2012), p.342.

[5] M. Aly: Real time detection of lane markers in urban streets, Intelligent Vehicles Symposium, IEEE, (2008), p.7.

DOI: 10.1109/ivs.2008.4621152

[6] H. C. Choi, J. M. Park, W. S. Choi, etc.: International Journal of Automotive Technology, vlo. 13 (2012), p.653.

[7] O. O. Khalifa, A. A. M. Assidiq, A. H. A. Hashim: Vision-based lane detection for autonomous artificial intelligent vehicles, Semantic Computing, 2009 IEEE International Conference on. IEEE, (2009), p.636.

DOI: 10.1109/icsc.2009.113

[8] M. S. Javadi, M. A. Hannan, S. A. Samad, etc.: Information Technology Journal, vol. 11 (2012), p.1184.

[9] S. Sharma, D. J. Shah: A Much Advanced and Efficient Lane Detection Algorithm for Intelligent Highway Safety, Computer Science & Information Technology, (2003), p.51.

DOI: 10.5121/csit.2013.3106

[10] N. Otsu: Automatica, vol. 11 (1975), p.285.

[11] S. R. Deans: Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 2 (1981), p.185.

[12] Information on http: /tev. fbk. eu/DATABASES.