Video-based unmanned aerial vehicle cloud online traffic flow monitoring method

Abstract

The invention discloses a video-based unmanned aerial vehicle cloud online traffic flow monitoring method. The method comprises that 1) an unmanned aerial vehicle flies according to the planning path,and shoots the road condition information video for a to-be-detected road section; 2) an unmanned aerial vehicle airborne embedded processor performs distortion correction on the shot video and compresses the shot video; 3 ), the unmanned aerial vehicle transmits the video data to a ground monitoring system through a 4G communication module; 4 ) after the ground monitoring system receives the video, the ground monitoring system executes and trains an SSD algorithm model according to the authority and requirement of the user or performs target detection by means of the trained SSD algorithm model, an administrator user can train the SSD algorithm model and perform SSD algorithm target detection, and an ordinary user can only carry out SSD algorithm target detection. According to the method, flexible monitoring road section selection is realized through a maneuvering unmanned aerial vehicle, and stronger autonomy is achieved; a target detection algorithm is adopted, and the consideration of the detection speed and the precision is achieved by means of cloud computing force, the robustness can be greatly improved, and centralized processing can be carried out on the ground monitoringcenter.

Description

technical field [0001] The invention belongs to the field of UAV image processing technology and computer vision, and in particular relates to a method for classifying and detecting real-time moving targets by UAVs based on vision and deep learning through the cloud, thereby realizing traffic flow monitoring. Background technique [0002] At present, there are existing pedestrian and traffic flow monitoring methods, such as collecting vehicle information through fixed surveillance cameras at intersections, and transmitting it to the traffic control center for traffic flow analysis and statistics. This method is to passively collect traffic information. , if the traffic flow is too large and the traffic needs to be evacuated, or when there is a car accident on the highway and it is necessary to understand the road conditions and rescue in time, the traditional methods are helpless; and the existing UAV visual monitoring methods, such as based on segmentation, classifiers, feat...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a video-based UAV cloud online traffic flow monitoring method, which overcomes the high time complexity and poor robustness of the UAV detection method in the prior art, and the existence of communication in communication methods such as data. Technical issues with short distances

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