Overview of key technologies for mine-wide intelligent video analysisCHENG Deqiang, KOU Qiqi, JIANG He, XU Feixiang, SONG Tianshu, WANG Xiaoyi, QIAN Jiansheng1-21
Research status and development trend of visual processing technology for fully mechanized excavation systemsDU Yuxin, ZHANG He, WANG Shuchen, ZHANG Jianhua22-38,75
Research on multi object detection in mining face based on FBEC-YOLOv5sZHANG Hui, SU Guoyong, ZHAO Dongyang39-45
Real time detection of foreign objects in belt conveyors based on Faster-YOLOv7TANG Jun, LI Jingzhao, SHI Qing, YANG Ping, WANG Rui46-52,66
Foreign object detection method for belt conveyor based on generative adversarial netsZHANG Liya53-59
Method for recognizing coal flow status of scraper conveyor in working faceWU Jiangwei, NAN Bingfei60-66
Bimodal environment perception technology for underground coal mine based on radar and visual fusionYANG Zhifang67-75
Research on super-resolution reconstruction of mine imagesWANG Yuanbin, LIU Jia, GUO Yaru, WU Bingchao76-83,120
Super-resolution reconstruction of rock CT images based on Real-ESRGANLI Gang, ZHANG Yabing, YANG Qinghe, ZOU Junpeng, CAI Tian, LIU Hang, ZHAO Yiming84-91
Image enhancement algorithm for non-uniform illumination in underground minesMIAO Zuohua, ZHAO Chengcheng, ZHU Liangjian, LIU Daiwen, CHEN Aoguang92-99