Data sets for the real world experiments in the PLOS ONE article "Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis"

Data sets for the real world experiments in the PLOS ONE article: "Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis"<br>Omnidirectional and perspective images and corresponding ground truth coordinates.<br>The parts of the zip-archive can be joined to a single file by executing the following command:<br># Linuxcat real_world_experiments_part.zip* &gt; real_world_experiments.zip<br># Windowscopy /b real_world_experiments_part.zip.00+real_world_experiments_part.zip.01+real_world_experiments_part.zip.02+real_world_experiments_part.zip.03 real_world_experiments.zip