A multi-modality ground-to-air cross-view pose estimation dataset for field robots

A multi-modality ground-to-air cross-view pose estimation dataset for field robots Here is a description of the dataset file： 1. yy-mm-dd-hh-mm image.zip: ground view image. 2. yy-mm-dd-hh-mm lidar.zip: ground point cloud information. 3. yy-mm-dd-hh-mm npy.zip: top view of the ground. 4. yy-mm-dd-hh-mm label.txt: ground image labeling. 5. yy-mm-dd-hh-mm file_name: ground image file name. 6. yy-mm-dd-hh-mm.png: satellite view. 7. intrinsic.txt: internal parameter of the camera. 8. extrinsic.txt:the external parameter between the LiDAR and the camera. the unzipped password for the dataset：NJUSTRobVisLab