A guided approach for cross-view geolocalization estimation with land cover semantic segmentation
Geolocalization is a crucial process that leverages environmental information and contextual data to accurately identify a position.In particular, cross-view geolocalization utilizes images from various perspectives, such as satellite and ground-level images, which are relevant for applications like robotics navigation and autonomous navigation.In