Global Aerial Localisation Using Image and Map Embeddings
Noe Samano,Mengjie Zhou,Andrew Calway,Noe Samano,Mengjie Zhou,Andrew Calway
We present a purely vision based geolocation method for aircraft flying over urban and suburban environments. The method is based on matching aerial images with geolocated map tiles using a shared low dimensional embedded space of descriptors. The Euclidean distance between descriptors is used as a similarity measure between domains. The similarity between the observation and map locations is then...
