Abstract
This paper focuses on the automatic detection of illegal U-turn and recording the number of license plates. The algorithm mainly includes the position detection of vehicles’ heads and tails, the marking of vehicles, the license plate recognition, and the judgment of illegal U-turn. The positions of heads and tails are detected by monitoring the headlights and the taillights in RGB color gamut. Most of the headlights are white and the taillights are largely red. In order to avoid the impact of white vehicles on results, the HOUGH Transform and face detection are utilized to determine the position of the steering wheel and the driver, which complement and verify the detection of head position. The edge of the input image needs to be enhanced to improve image quality. It will be judged whether the moving vehicle has had an illegal U-turn. The effectiveness of the algorithm is verified by simulation with MATLAB. Through the analysis of experimental results, it is demonstrated that the algorithm designed in this paper is feasible and achieves the desired design requirements.
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Wang, W., Zhou, Y., Cai, Q., Zhou, Y. (2020). A Research on Detection Algorithm of Vehicle Illegal U-Turn. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_132
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DOI: https://doi.org/10.1007/978-981-13-6508-9_132
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