Superpixel-based appearance change prediction for long-term navigation across seasons
This work is about place recognition across seasons. We present the novel idea of an additional prediction step. We propose a superpixel based implementation: SP-APC. SP-APC can learn to predict e.g. winter images from summer images. Extensive evaluation is done on the Nordland dataset.
appearance change prediction place recognition long term navigation appearance based localization changing environments