Multi-Session Visual SLAM for Illumination-Invariant Re-Localization in Indoor Environments
For robots navigating using only a camera, illumination changes in indoor environments can cause re-localization failures during autonomous navigation.In this paper, we present a multi-session visual SLAM approach to create a map made of multiple variations of the same locations in different illumination conditions.The multi-session map can then be