Vehicle dataset: For vision-based place recognition with manually ground truthed frame correspondences

ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://goo.gl/77Pi1C&rft.title=Vehicle dataset: For vision-based place recognition with manually ground truthed frame correspondences&rft.identifier=10378.3/8085/1018.15600&rft.publisher=Queensland University of Technology&rft.description=This is a vehicle dataset for vision-based place recognition with manually ground truthed frame correspondences. The dataset was captured in two different conditions for the same route: one on a sunny day and one during a rainy night. Both datasets were taken in the suburb of Alderley, Queensland.The dataset contains original .avi movie files as well as individual frames extracted from the video and compressed into zip files. A .csv file holds the frame correspondences, which is replicated in the MATLAB mat file (requires MATLAB to use). The frame correspondences can be visually validated using the MATLAB script PLAYBACK.m. This will play back the videos, aligned using the frame correspondences in fm.mat.FRAMESA corresponds to the night time traverse and FRAMESB to the day time traverse.&rft.creator=Professor Michael Milford&rft.date=2014&rft.relation=http://www.wjscheirer.com/papers/wjs_icra2014_place.pdf&rft.coverage=153.009026,-27.412635 152.992409,-27.412635 152.992409,-27.437375 153.009026,-27.437375 153.009026,-27.412635&rft_rights=Dr. Michael Milford &rft_rights=Creative Commons Attribution-NonCommercial 3.0 http://creativecommons.org/licenses/by-nc/3.0/au/&rft_subject=ENGINEERING&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Spatial Data&rft.type=dataset&rft.language=English Access the data