3 SYSTEM FOR 3D SAFETY INSPECTION FOR TUNNEL FACILITY BASED ON XAI AND POINT CLOUD

• Main Authors: CHO JAE HUN, KOO TAE HOE, LEE CHEOL HEE, KIM IN SOO
• Format: Patent
• Language: English; Korean
• Published: 05.04.2022
• Subjects: CALCULATING; COLORIMETRY; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; EARTH DRILLING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; FIXED CONSTRUCTIONS; MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT,POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED,VISIBLE OR ULTRA-VIOLET LIGHT; MEASURING; MINING; PHYSICS; PICTORIAL COMMUNICATION, e.g. TELEVISION; RADIATION PYROMETRY; SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, ORDRAINING IN OR OF MINES OR TUNNELS; TESTING

The present invention relates to an automated system for safety inspection of three-dimensional (3D) tunnel facilities based on explainable artificial intelligence (XAI) and point cloud. According to an embodiment of the present invention, an automated system for safety inspection of 3D tunnel facilities based on XAI and point cloud comprises: an input unit for acquiring image data; a memory which stores a program that automates safety inspection of 3D tunnel facilities based on the XAI and point cloud using the image data; and a processor which executes the program. The input unit acquires the point cloud of the tunnel facility, the image data, and thermal image data using a stereo optical camera and a thermal imaging camera. 본 발명은 설명가능인공지능 및 포인트클라우드 기반 3차원 터널시설물 안전점검 자동화 시스템에 관한 것이다. 본 발명의 실시예에 따른 설명가능인공지능 및 포인트클라우드 기반 3차원 터널시설물 안전점검 자동화 시스템은 영상 데이터를 획득하는 입력부와, 영상 데이터를 이용하여 설명가능인공지능 및 포인트클라우드 기반으로3차원 터널시설물 안전점검을 자동화하는 프로그램이 저장된 메모리 및 프로그램을 실행시키는 프로세서를 포함하고, 입력부는 스테레오 광학 카메라와 열화상 카메라로 터널 시설물의 포인트 클라우드, 상기 영상 데이터, 열화상 데이터를 취득한다.