Long-term mobile robot localization in dynamic environments using spectral maps

The video presents a novel approach for vision-based topological localisation in dynamic indoor environments. In contrast to other approaches that rely on static image features, our method explicitly models the temporal dynamics of the visibility of image features. The proposed spatio-temporal world model is able to predict the visibility of image features at different times of day, which allows to construct time-specific environment appearance models. This approach improves the robot localisation capabilities during long-term operations.