A road congestion detection method based on robust vehicle target detection
A technology of vehicle detection and detection method, which is applied in the direction of road vehicle traffic control system, traffic flow detection, instrument, etc., can solve the problems of insufficient accuracy, high maintenance cost, damage to the road surface, etc., to improve instability and robustness Good, high detection accuracy
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[0093] The detection of urban traffic road congestion needs to be real-time and reliable at the same time. The traditional methods of judging congestion have the disadvantages of obtaining inaccurate road surface information and relying too much on historical data. In order to obtain accurate road vehicle information in real time and provide accurate road vehicle information for congestion detection, the vehicle must first be detected in real time and accurately. YOLOv3 is an end-to-end target detection algorithm with both speed and accuracy. It uses a large number of residual structures in the feature extraction network to ensure that the deep network can effectively extract the features of the target. Targets of different sizes are positioned, and the output network is divided into three layers, corresponding to three different sizes of targets: large, medium and small. At the same time, since a network with a fixed output size will limit the receptive field of the output ne...
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