An Improved Vision-Based Lane Departure Warning System under High Speed Driving Condition

X. T. Liu, Y. Zou, H. W. Guo

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Abstract

Recently, Lane departure warning system has attracted great attention as it contributes to vehicle active safety. In this paper, a vision-based lane departure warning system under high-speed driving is proposed. The system consists of two functional parts: lane markings detection and vehicle departure identification. The Hough Transform is applied to detect lane boundaries, which is a most effective detection method with high reliability. Based on the road line, a method using several Euclidean-distance-related parameters to calculate vehicle's position and its deviating status is proposed, which addresses the problem of efficient detection of lane departure under high-speed driving condition. The algorithm is tested and verified in various real driving conditions and proved a reliable and steady performance.

Original languageEnglish
Article number012053
JournalJournal of Physics: Conference Series
Volume1267
Issue number1
DOIs
Publication statusPublished - 17 Jul 2019
Event2019 3rd International Conference on Artificial Intelligence, Automation and Control Technologies, AIACT 2019 - Xi'an, China
Duration: 25 Apr 201927 Apr 2019

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Liu, X. T., Zou, Y., & Guo, H. W. (2019). An Improved Vision-Based Lane Departure Warning System under High Speed Driving Condition. Journal of Physics: Conference Series, 1267(1), Article 012053. https://doi.org/10.1088/1742-6596/1267/1/012053