A Vision-Based Lane Markings Detection and Recognition Method for Lane Departure Warning System

Xiao Feng Chen; Zhong Ke Shi

doi:10.4028/www.scientific.net/AMM.97-98.1007

Paper Titles

Research on SA-Based Addressing Model of Slot in Container Terminal
p.985

Coordinated Ramp Metering Based on Ant Colony Optimization
p.990

Analysis and Comparison of Locomotive Traction Motor Intelligent Fault Diagnosis Methods
p.994

A Critical Review of the Istanbul Strait Transportation Policies
p.1003

A Vision-Based Lane Markings Detection and Recognition Method for Lane Departure Warning System
p.1007

The Research on the Evaluation to the Cost-Effectiveness for Economies of the Logistics Transportation Network
p.1015

Location Analysis for Dry Ports Based on FCM
p.1022

The Study on Accident Probability Risk Assessment Methods for Shipwrecks in Inland Waterways
p.1027

Research on the Urban Transportation Development in Our Country Based on the Traffic Congestion Pricing
p.1032

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 97-98A Vision-Based Lane Markings Detection and...

A Vision-Based Lane Markings Detection and Recognition Method for Lane Departure Warning System

Abstract:

Lane departure warning system is an important element in improving driving safety and the main difficulty of which is to detect and recognize lane markings quickly and precisely. In this paper, for satisfying the quickness and precision requirement of recognizing lane markings, a novel vision-based lane markings detection and recognition method, which mainly comprise of two steps, is proposed. The first step of which is to roughly determine the ROI of lane markings by means of projection, while the next is to precisely detect lane markings by combining Hough transform with the least square method to fit straight-line. Large amounts of experiment indicate that the proposed method can rapidly and precisely recognize lane markings from sequential images.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 97-98)

Pages:

1007-1011

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.97-98.1007

Citation:

Cite this paper

Online since:

September 2011

Authors:

Xiao Feng Chen, Zhong Ke Shi

Keywords:

Hough Transform (HT), Lane Departure, Lane Recognition, Least Square (LS)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] S.G. Jeong, C.S. Kim, D.Y. Lee, et. Al: Proceeding of IEEE International Symposium on Industrial Electronics, Volume 3, 12-16 June (2001), p.1466.

Google Scholar

[2] J. C. McCall and M. M. Trivedi: in Proc. of IEEE Intelligent Vehicles Symposium, Parma, Italy, June 14-17(2004), p.533.

Google Scholar

[3] A. A. M. Assidiq, O. O. Khalifa, M. R. Islam, and S. Khan: in Computer and Communication Engineering (2008), p.82.

Google Scholar

[4] Z. W. Kim.: Intelligent Transportation Systems, vol. 9(2008), p.16.

Google Scholar

[5] D. Graham, S. D. Finlayson1, D. Hordley1, and D. S, Mark: School of Information Systems, (2001), p.1.

Google Scholar

[6] Azali, Jason, and Hanafi: Proc. of the 5th Int. Conf. on IT in Asia, 10-12 Jul (2007), p.1.

Google Scholar