A large scale dataset for indoor visual localization with high precise ground truth
Published:
We present a challenging new dataset for indoor localization research. We have recorded the whole internal structure of Fengtai Wanda Plaza which is over 15800 square meters area with a Navvis M6 device. The dataset contains 679 RGBD panoramas and 2664 query images collected by three different smartphones. In addition to the data, aligned 3D point cloud is produced after the elimination of moving objects based on the building floorplan. Furthermore, a method is provided to generate corresponding high resolution depth images for each panorama. By fixing the smartphones on the device using a specially designed bracket, 6 degree of freedom camera poses can be calculated precisely. We believe it can give a new benchmark for indoor visual localization.