5 papers
TACO: Trajectory Aligning Cross-view Optimisation
Tavis Shore, Oscar Mendez, Simon Hadfield
Cross-View Geo-localisation (CVGL) matches ground imagery against satellite tiles to give absolute position fixes, an alternative to GNSS where signals are occluded, jammed, or spo…
VICI: VLM-Instructed Cross-view Image-localisation
Xiaohan Zhang, Tavis Shore, Chen Chen +3
In this paper, we present a high-performing solution to the UAVM 2025 Challenge, which focuses on matching narrow FOV street-level images to corresponding satellite imagery using t…
SpaGBOL: Spatial-Graph-Based Orientated Localisation
Tavis Shore, Oscar Mendez, Simon Hadfield
Cross-View Geo-Localisation within urban regions is challenging in part due to the lack of geo-spatial structuring within current datasets and techniques. We propose utilising grap…
PEnG: Pose-Enhanced Geo-Localisation
Tavis Shore, Oscar Mendez, Simon Hadfield
Cross-view Geo-localisation is typically performed at a coarse granularity, because densely sampled satellite image patches overlap heavily. This heavy overlap would make disambigu…
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
Tavis Shore, Simon Hadfield, Oscar Mendez
Cross-view image matching for geo-localisation is a challenging problem due to the significant visual difference between aerial and ground-level viewpoints. The method provides loc…