Multi-radar cross-regional networked multi-target tracking and identification method and device

Abstract

The invention provides a multi-radar cross-regional networked multi-target tracking and identification method and device and belongs to the field of vehicle road detection. The device comprises a plurality of radars arranged on an expressway and a video detection system. When targets enter triggering positions set by the radars, the targets trigger video detection data; radar data and video data are associated, the characteristic information such as the license plates and vehicle types of the target vehicles and the motion information such as the vehicle speeds of the target vehicles can be synthesized on the expressway; and multi-radar data fusion is performed on the targets, so that the moving tracks of the tracked targets running at different regions of the expressway are formed. The method and device combine the advantages of the radars and video detection, and therefore, with the method and device adopted, the limitation of the detection range of a single radar is broken through,the detection distance of the radars is infinitely extended, and the transmission of the characteristic information and motion information is realized; all movement tracks, traffic behaviors and otherinformation of the vehicles in the radar network can be obtained; and a multi-radar cross-regional networked multi-target tracking and identification process is achieved.

Description

technical field [0001] The invention relates to the field of vehicle road detection, in particular to a multi-radar cross-regional networking multi-target tracking and identification method and device. Background technique [0002] Expressway is a closed road, and protecting the life and property safety of drivers and passengers on the expressway is a major issue of the national economy and people's livelihood, and it also belongs to the key management and improvement work content of the road traffic department in the new era. In order to further enhance the expressway management unit's control over the entire process of expressway network operation, and strengthen the emergency response capabilities of expressway emergencies, the demand for full-process monitoring of expressways is becoming more and more urgent. [0003] With the maturity of high-definition video technology in recent years, most expressway management implements digital high-definition surveillance video to ...

AI Technical Summary

Problems solved by technology

The disadvantages are that high-definition video is relatively expensive, and it is greatly affected by harsh environments. When encountering rain, fog and snow, the detection accuracy is extremely low, and the economic benefit ratio is not high; Ordinary cameras are replaced, resulting in a waste of resources

[0004] In addition, although high-definition cameras can accurately perceive the characteristics of vehicles such as vehicle models and license plates, they are less accurate when detecting motion attributes such as distance and speed. Moreover, due to the optical characteristics of the camera, they are easily disturbed by the surrounding environment, such as strong light. Harsh weather conditions such as radiation, rain, snow and fog will affect the normal operation of the camera, resulting in in

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