Abstract
An effective and robust algorithm for structured road in urban is proposed in this paper. Firstly, the adaptive segmentation method is used to determine reasonable Region of Interest (ROI) that covers all candidate lane markings. Secondly, line segments are extracted by Line Segment Detector (LSD) and be used as low level feature to extract the structural information of road scene. Thirdly, non-lane markings are eliminated by clustering on orientation information and vanishing point. Finally, the lanes are extracted from the remaining candidate lane markings. Experimental results on Caltech lane datasets show that the algorithm can extract lanes in complex structured road scenarios.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Borkar, A., Hayes, M., Smith, M.T.: A Novel Lane Detection System with Efficient Ground Truth Generation. J. IEEE T. Intell. Transp. 13, 365–374 (2012)
Gopalan, R., Hong, T., Shneier, M., et al.: A Learning Approach Towards Detection and Tracking of Lane Markings. J. IEEE T. Intell. Transp. (to appear, 2012)
McCall, J.C., Trivedi, M.M.: Video-Based Lane Estimation and Tracking for Driver Assistance: Survey, System, and Evaluation. J. IEEE T. Intell. Transp. 7, 20–37 (2006)
Satzoda, R.K., Sathyanarayana, S., Srikanthan, T.: Hierarchical Additive Hough Transform for Lane Detection. J. IEEE Embedded Systems Lett. 2, 23–26 (2010)
Xu, L., Oja, E., Kultanen, P.: A New Curve Detection Method: Randomized Hough Transform (RHT). J. Pattern Recognit. Lett. 11, 33–338 (1990)
Von Gioi, R.G., Jakubowicz, J., Morel, J.M., et al.: LSD: A Fast Line Segment Detector with a False Detection Control. J. IEEE T. Pattern. Anal. 32, 722–732 (2010)
Aly, M.: Real Time Detection of Lane Markers in Urban Streets. In: IEEE Intelligent Vehicles Symposium, pp. 7–12. IEEE Press, New York (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, W., Li, S. (2013). An Effective Lane Detection Algorithm for Structured Road in Urban. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_92
Download citation
DOI: https://doi.org/10.1007/978-3-642-36669-7_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36668-0
Online ISBN: 978-3-642-36669-7
eBook Packages: Computer ScienceComputer Science (R0)