Cross-view geo-localization has great potential in the field of autonomous driving for
vehicles. Existing methods on ground-to-aerial geo-localization show two main limitations …

Ground-to-aerial (G2A) geo-localization remains extremely challenging due to the drastic
appearance and geometry differences between ground and aerial views, especially when …

Geolocation is a fundamental component of route planning and navigation for unmanned
vehicles, but GNSS-based geolocation fails under denial-of-service conditions. Cross-view …

In this work, we address the problem of cross-view geo-localization, which estimates the
geospatial location of a street view image by matching it with a database of geo-tagged …

In this work, we address the problem of cross-view geo-localization, which estimates the
geospatial location of a street view image by matching it with a database of geo-tagged …

Cross-view geo-localization holds significant potential for various applications, but drastic
differences in viewpoints and visual appearances between cross-view images make this …

Ground-to-aerial geolocalization refers to localizing a ground-level query image by matching
it to a reference database of geo-tagged aerial imagery. This is very challenging due to the …

This paper studies image-based geo-localization (IBL) problem using ground-to-aerial cross-
view matching. The goal is to predict the spatial location of a ground-level query image by …

Image-based geolocalization is an important alternative to GPS-based localization in GPS-
denied situations. Among them, ground-to-aerial geolocalization is particularly promising but …

Cross-view geo-localization aims to associate geographical location with different view
images shot from different platforms. One of the critical challenges is how to effectively …