Escape vehicle rapid identification and tracking method based on vehicle-mounted unmanned aerial vehicle
A vehicle-mounted drone and vehicle technology, applied in neural learning methods, road vehicle traffic control systems, traffic flow detection, etc., can solve problems such as difficult deployment and low re-identification efficiency, reduce redundant features, and improve case detection Efficiency, the effect of shortening the time for tracking and predicting
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[0034] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0035] like figure 1 As shown, a fast identification and tracking method for escaping vehicles based on vehicle-mounted UAVs includes the following steps:
[0036] Step 1: Construct the location prediction model of the road section where the escaping vehicle is located, predict the probability of the hit-and-run vehicle appearing at each intersection, and sort it, and use the top three areas with the highest probability values as candidate areas.
[0037] Specifically, it includes two stages: one is the network training stage of the prediction model for the location of the escaping vehicle, and the other is the real-time detection stage of the prediction model:
[0038] In the network training phase, first determine the structure of the neural network, such as Figure 5 As shown, a BP artificial neural network for predicting the position o...
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