Cross-View Geo-Localisation
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Benchmarks
Most implemented
The StreetLearn Environment and Dataset
GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching
PEnG: Pose-Enhanced Geo-Localisation
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
SpaGBOL: Spatial-Graph-Based Orientated Localisation
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
Papers
TACO: Trajectory Aligning Cross-view Optimisation
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 spoofed. Recent fine-grained CVGL methods r…
Cross-View Geo-LocalisationLearnable Query Aggregation with KV Routing for Cross-view Geo-localisation
Cross-view geo-localisation (CVGL) aims to estimate the geographic location of a query image by matching it with images from a large-scale database. However, the significant view-point discrepancies present considerable …
Cross-View Geo-LocalisationVICI: VLM-Instructed Cross-view Image-localisation
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 the University-1652 dataset. As panoramic…
Cross-View Geo-LocalisationGeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching
Cross-view geo-localisation identifies coarse geographical position of an automated vehicle by matching a ground-level image to a geo-tagged satellite image from a database. Despite the advancements in Cross-view geo-loc…
Cross-View Geo-LocalisationRerankingPEnG: Pose-Enhanced Geo-Localisation
Cross-view Geo-localisation is typically performed at a coarse granularity, because densely sampled satellite image patches overlap heavily. This heavy overlap would make disambiguating patches very challenging. However,…
Camera LocalizationCross-View Geo-Localisationgeo-localizationImage Retrieval+6CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
Cross-view geo-localization (CVGL), which involves matching and retrieving satellite images to determine the geographic location of a ground image, is crucial in GNSS-constrained scenarios. However, this task faces signi…
Cross-View Geo-LocalisationDrone-view target localizationgeo-localizationImage-Based Localization+1