An optical flow and hough transform based approach to a lane departure warning system

Rohit Sharma, Gregory Taubel, Jiann-Shiou Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This paper presents an image-based lane departure warning (LDW) system using the Lucas-Kanada (L-K) optical flow and the Hough transform methods. Based on the status of the vehicle deviating from its heading lane, the method integrates both techniques to establish an operation algorithm to determine whether a warning signal should be issued. The L-K optical flow tracking is used when the lane boundaries cannot be detected, while the lane detection technique is used when they become available. Even though both techniques are used in the system, only one method is activated at any given time because each technique has its own advantages and also disadvantages. The image-based LDW system was road tested on rural highways and this paper briefly presents the system implementation and test results.

Original languageEnglish (US)
Title of host publication11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
PublisherIEEE Computer Society
Pages688-693
Number of pages6
ISBN (Print)9781479928378
DOIs
StatePublished - Jan 1 2014
Event11th IEEE International Conference on Control and Automation, IEEE ICCA 2014 - Taichung, Taiwan, Province of China
Duration: Jun 18 2014Jun 20 2014

Publication series

NameIEEE International Conference on Control and Automation, ICCA
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Other

Other11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
CountryTaiwan, Province of China
CityTaichung
Period6/18/146/20/14

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Sharma, R., Taubel, G., & Yang, J-S. (2014). An optical flow and hough transform based approach to a lane departure warning system. In 11th IEEE International Conference on Control and Automation, IEEE ICCA 2014 (pp. 688-693). [6871003] (IEEE International Conference on Control and Automation, ICCA). IEEE Computer Society. https://doi.org/10.1109/ICCA.2014.6871003