[time] 2022-08-02T08:58:34+02:00 [track] 2 [team_name] CamLoc [team_institution] 1. Institute of Computing Technology, Chinese Academy of Sciences. 2. Beijing University of Posts and Telecommunications [logolink] [team_members] Yushi Chen, Yue Zhuge, Long Wang, Runze Chen, Haiyong Luo, Fang Zhao [reference_person] Yushi Chen [reference_email] chenyushi@bupt.edu.cn [description_short] https://1drv.ms/w/s!AnBzqrilHPoE1i06cIcNYQ8dL6bE Generally, we will consider retraining the mainstream absolute pose regression algorithms. We will consider using the SOTA image retrieval algorithms if the data is scarce. If the data is sufficient and covers the majority of areas, we will use the method based on structure. If the data was photographed in a sequential way and the timestamps are very close between adjacent frames, we consider using the Visual Odometry model based on deep learning. [description_long_link] https://1drv.ms/w/s!AnBzqrilHPoE1i7lt8o__eOqll3H [publish_check_] true [results_check_] true [data_check_] true [pdf_check_] true [video_check_] true