Data set for the simulator experiment in the PLOS ONE article "Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis"
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Data set for the simulator experiment in the PLOS ONE article:"Bio-inspired visual self-localization in real world scenariosusing Slow Feature Analysis"Images 'panorama_0.png' - 'panorama_628.png' are panoramic images rendered onan equidistant grid in a simulator environment.Sequences for the training- and test-set were created artificially bysampling successive image/coordinate pairs from the grid.The files 'train_sequence.csv' and 'test_sequence.csv' contain the image filenames and corresponding coordinates for the respective sets.
创建时间：
2018-01-25
