Deep learning-based red light violation detection method
A detection method and deep learning technology, which is applied in the field of red light violation detection at traffic light intersections, can solve the problems of high cost, inflexibility, and low accuracy, and achieve the effect of high accuracy and low cost
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[0083] In this embodiment, its basic detection process is as described in S1-S7 above, and the effect of its actual application will be specifically shown below.
[0084] Step S1. Locate the area of the signal light and the area inside and outside the line.
[0085] The signal light area is the position of the signal light in the figure. The signal light area is a regular figure, represented by four counterclockwise endpoints. The area inside the line is composed of inner lanes. The number of lanes is determined by the intersection. The inner lanes are divided into straight lanes and left turn lanes. Lanes and right-turn lanes, lanes consist of lane lines defined by two endpoints in the diagram.
[0086] Since the position of the camera is fixed, the position of the signal light area and the lane line in the transmitted picture frame set K remains unchanged in each picture, so only one positioning of the signal light area, the inside area and the outside area is required. T...
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