KITTI-360-SR

Scene Recognition is a problem, where a set of visible objects must be correctly associated with objects marked on a semantic map - this problem is also sometimes called a Data Association. Please note, that Scene Recognition in terms where the observed scene must be labeled in terms such as 'kitchen', 'bedroom' and so on is a different problem.

Scene Recognition is used in different mobile robot localization problems, such as semantic mapping, global localization, kidnapping, loop-closing and so on. But problem is that there is no special dataset for that task (at least I found none). Such dataset should have the following features:

• a Semantic map with globally marked objects;
• scenes data (views from robot camera), where objects are also labeled and their IDs are correctly matched with IDs on the Semantic map.

For full info please follow https://github.com/MoscowskyAnton/scene_recognition_kitti_360