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Cross-View Geo-Localisation

Cross-view geo-localization refers to determining the geographic location of a camera or scene by matching images captured from different views, such as ground-level images (e.g., street-view or photos from handheld devices) and aerial/satellite images. This involves aligning and correlating these images despite significant variations in perspective, scale, and visual features.

Papers

Showing 19 of 9 papers

TitleStatusHype
CV-Cities: Advancing Cross-View Geo-Localization in Global CitiesCode2
SpaGBOL: Spatial-Graph-Based Orientated LocalisationCode1
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-LocalisationCode1
Sample4Geo: Hard Negative Sampling For Cross-View Geo-LocalisationCode1
VIGOR: Cross-View Image Geo-localization beyond One-to-one RetrievalCode1
Where am I looking at? Joint Location and Orientation Estimation by Cross-View MatchingCode1
GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language MatchingCode0
PEnG: Pose-Enhanced Geo-LocalisationCode0
The StreetLearn Environment and DatasetCode0
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