Vehicle identification and traffic incident detection method and system based on visual angle of unmanned aerial vehicle

By building a comprehensive road description model and improved YOLOv11-OBB model and TADDH structure, combined with drone flight control data, the shortcomings of small and medium-sized target recognition and intelligent traffic event recognition of drone traffic monitoring are solved, and the precise vehicle identification and accurate traffic event recognition are achieved, and the coverage and applicability of drone monitoring are improved.

CN120452196APending Publication Date: 2025-08-08HUAZHONG UNIV OF SCI & TECH
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Patent Information

Application Number
CN202510731508.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-03
Publication Date
2025-08-08

AI Technical Summary

Technical Problem

The existing UAV traffic monitoring technology has shortcomings in small-target vehicle identification, multi-dimensional traffic data fusion and intelligent traffic event identification, especially in complex scenarios, lack of accuracy and limited applicability.

Method used

A comprehensive road description model is constructed, including vehicle motion parameters, road driving direction and vehicle relationships, and a traffic event recognition module is formed, and the improved YOLOv11-OBB model and TADDH structure are used to identify and locate vehicles, and vehicle trajectory data under a unified coordinate system are established.

Benefits of technology

It realizes accurate vehicle identification and accurate traffic event identification in complex scenarios, improves the coverage and deployment flexibility of drone monitoring, and significantly improves the accuracy and applicability of small-target vehicle identification and traffic event identification.

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Abstract

The invention relates to the technical field of intelligent traffic monitoring, in particular to a vehicle identification and traffic incident detection method and system based on the view angle of an unmanned aerial vehicle, and the method comprises the steps: obtaining the aerial traffic video data of the unmanned aerial vehicle and the flight control data of the unmanned aerial vehicle; performing target identification on the image in the video data by adopting a target detection algorithm to obtain vehicle information; tracking the vehicle in the video data by using a target tracking algorithm, and mapping the identified vehicle to a unified coordinate system in combination with the flight control data to generate vehicle trajectory data; constructing a comprehensive road description model based on the vehicle trajectory data and the vehicle information; and forming a traffic incident recognition module based on the comprehensive road description model, and recognizing the input aerial video according to a preset traffic incident recognition rule. According to the invention, by optimizing the vehicle identification algorithm, constructing the road description model and designing the efficient traffic event identification module, the application efficiency of the unmanned aerial vehicle aerial video in the traffic monitoring field is effectively improved.
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