Unmanned aerial vehicle target detection method in 5G environment

Abstract

The invention provides an unmanned aerial vehicle target detection method in a 5G environment. The method belongs to the technical fields of 5G technologies, unmanned aerial vehicles, target detection and edge calculation. According to the invention, the 5G high-bandwidth high-speed network and the 5G base station edge intelligent service are effectively utilized. An image obtained by aerial photography of the unmanned aerial vehicle in real time is detected by combining the computing power of the terminal side of the unmanned aerial vehicle. An uncertain target is transmitted back to the 5G base station side through 5G for analysis. A result is fed back to the unmanned aerial vehicle in real time, and changing the advancing mode and angle of the unmanned aerial vehicle or adjusting sensing equipment to complete a target detection task. Besides, edge intelligent computing nodes are managed in a unified mode through the cloud center, intelligent model and service personalized distribution is conducted on the edge nodes according to the unmanned aerial vehicle target detection task, and meanwhile images collected by the unmanned aerial vehicle are collected and used for continuous optimization of the cloud target detection model.

Description

technical field [0001] The present invention relates to 5G technology, unmanned aerial vehicles, target detection and edge computing technology, and in particular to a method for detecting unmanned aerial vehicle targets in a 5G environment. Background technique [0002] Unmanned aircraft, referred to as "unmanned aerial vehicle", or "UAV" in English, is an unmanned aircraft that is controlled by radio remote control equipment and its own program control device, or is completely or intermittently operated autonomously by an on-board computer. With the development of UAV technology and the continuous decline in the cost of key components, the threshold for developing UAV systems has been greatly reduced, which has also made UAVs widely used, and the size and weight of UAVs are also changing. Smaller to adapt to a wider range of application scenarios, while drones have become more intelligent, intelligent functions such as automatic obstacle avoidance and automatic target trac...

AI Technical Summary

Problems solved by technology

[0004] The use of UAVs for target detection is an important application of UAVs. However, due to the limitations of UAV size, load, and computing resources, UAVs are more used as a collection device, and most of the collected data is vertically overlooking. Shooting from different angles, the accuracy of target detection is limited

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