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"
收藏Figshare2018-04-26 更新2026-04-08 收录
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https://figshare.com/articles/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_/6148340/1
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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* > 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
创建时间：
2018-04-26
