Laser Timing Control and Secondary Tracking Strike Method Based on YOLO Image Detection
In the process of laser strikes on drones,the main reliance is on the laser to burn and penetrate the target's shell in the target's flight control area,causing it to fall.Whether the target's flight control area can be accurately hit is the key to shooting down the target.However,the flames and smoke generated by long-term laser strikes can cause serious interference in image-based target detection and tracking,making it difficult for the laser to accurately lock the drone's flight control area,seriously affecting the probability of actual combat shooting down,This article designs a strike method that uses the YOLO algorithm to detect target images,and uses the detection results to control the laser output timing and perform secondary tracking.The experiment shows that the strike method used in this article can improve stability by more than 59％.The improvement of the tracking strategy effectively improves the ability to shoot down drones.
target detectiontarget trackinganti drone systemshigh-energy laser weaponsstrike strategieslaser control
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