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

Data set for the simulator experiment in the PLOS ONE article:<br>"Bio-inspired visual self-localization in real world scenarios<br>using Slow Feature Analysis"<br><br>Images 'panorama_0.png' - 'panorama_628.png' are panoramic images rendered on<br>an equidistant grid in a simulator environment.<br><br>Sequences for the training- and test-set were created artificially by<br>sampling successive image/coordinate pairs from the grid.<br><br>The files 'train_sequence.csv' and 'test_sequence.csv' contain the image file<br>names and corresponding coordinates for the respective sets.