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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

Active Publication Date: 2021-05-28
NANJING UNIV OF INFORMATION SCI & TECH
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AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: The purpose of the invention is to effectively solve the defects of traditional fixed camera, low efficiency of manual offline vehicle re-recognition and the difficulty of deploying it to the cloud due to the continuous expansion of the scale of the deep network model, and provide an escape vehicle based on a vehicle-mounted drone The rapid identification and tracking method, combined with the traffic scene information passed by the escaping vehicle, realizes timely and efficient tracking of the hit-and-run vehicle

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  • Escape vehicle rapid identification and tracking method based on vehicle-mounted unmanned aerial vehicle

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Embodiment Construction

[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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Abstract

The invention discloses an escape vehicle rapid identification and tracking method based on a vehicle-mounted unmanned aerial vehicle. The method specifically comprises the steps of (1) constructing a prediction model for the position of a road section where an escape vehicle is located, and taking the first three areas with the largest probability values as candidate areas; (2) scanning vehicles in the three candidate areas and uploading the vehicles to a cloud end through a 5G network; (3) establishing a lightweight escape vehicle re-identification model based on the improved DenseNet121, and performing vehicle feature extraction and re-identification on a picture of each candidate area based on the escape vehicle to be queried; and (4) transmitting the position information of the candidate area where the picture with the highest escape vehicle re-identification rate is located to an on-duty person, and completing tracking of the hit-and-run vehicle. The unmanned aerial vehicle can rapidly and reliably re-identify the escape vehicle, and the case solving efficiency is improved.

Description

technical field [0001] The invention relates to the fields of vehicle tracking and vehicle re-identification, in particular to a method for quickly identifying and tracking escaped vehicles based on a vehicle-mounted drone. Background technique [0002] At present, with the continuous growth of the number of vehicles and drivers, the situation of traffic safety is becoming more and more serious; the proportion of serious injuries caused by traffic accidents and escapes is increasing, which not only brings huge economic losses, but also brings a series of social problems . Under the severe background of shortage of public security officers and remote roads, the technical tracking of hit-and-run vehicles is particularly important. How to hunt down escaped vehicles efficiently and intelligently has also become an urgent issue that deserves attention and needs to be solved. [0003] The rapid development of computer vision and machine learning has also brought new ideas to the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/017G06N3/04G06N3/08
CPCG08G1/0125G08G1/0137G08G1/017G08G1/0175G06N3/084G06N3/044G06N3/045
Inventor 孙伟解帅孙中钰葛楷田梦瑶左欣幼付锦燚严皖宁孙高宇孙冉冉周旭阳
Owner NANJING UNIV OF INFORMATION SCI & TECH
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