Academic Journal of Engineering and Technology Science, 2023, 6(8); doi: 10.25236/AJETS.2023.060806.
Zhaoxiang Wang
School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China
With the continuous increase in the number of vehicles, traffic safety issues have attracted widespread attention from all sectors of society. In this paper, a lane information extraction algorithm based on Gabor filters, which have good recognition characteristics for road texture information, is proposed for lane extraction. Using a well-established test set for detection experiments, the lane detection aspect of the algorithm was tested with a false detection rate of 1.9%, which is 0.9% higher than the existing RANSAC lane fitting algorithm. The algorithm used in this paper is feasible.
Lane Detection, Gabor Filter, Data Experiment, Lane Extraction
Zhaoxiang Wang. Research on Lane Detection Method Based on Machine Vision. Academic Journal of Engineering and Technology Science (2023) Vol. 6, Issue 8: 37-43. https://doi.org/10.25236/AJETS.2023.060806.
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