SYSTEM AND METHOD FOR ESTABLISHING RECOVERY OF RUNWAY BASED ON IMAGE AI AND REINFORCEMENT LEARNING AT WAR

摘要

The present invention relates to an automated system and method for repairing damage to the pavement surface of an exhibition flight based on a photographed image, artificial intelligence, and an algorithm. The automated system for repairing damage to the pavement of wartime flight based on the captured image, artificial intelligence, and algorithm according to an embodiment of the present invention includes an input unit for receiving a captured image, and a program for detecting unexploded ordnance and blast holes on the flight pavement using the captured image. This stored memory and a processor that executes the program are included, and the processor uses a deep learning network based on 3D point cloud dedicated reinforcement learning and explanatory intelligence to analyze the captured image, detect unexploded ordnance on the flight pavement, and characterized by measuring.