Papers Cross-View Geo-Localisation
“Cross-View Geo-Localisation” 태그가 달린 논문 12편 · 필터 해제
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+1SpaGBOL: Spatial-Graph-Based Orientated Localisation
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 graph representations to model sequences of …
Camera LocalizationCross-View Geo-Localisationgeo-localizationImage-Based Localization+5BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
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 localisation capabilities from geo-referenc…
Camera LocalizationCross-View Geo-Localisationgeo-localizationImage-Based Localization+5Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
Cross-View Geo-Localisation is still a challenging task where additional modules, specific pre-processing or zooming strategies are necessary to determine accurate positions of images. Since different views have differen…
Contrastive LearningCross-View Geo-LocalisationDrone-view target localizationImage-Based Localization+1VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
Cross-view image geo-localization aims to determine the locations of street-view query images by matching with GPS-tagged reference images from aerial view. Recent works have achieved surprisingly high retrieval accuracy…
Cross-View Geo-Localisationgeo-localizationImage-Based LocalizationImage RetrievalWhere am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
Cross-view geo-localization is the problem of estimating the position and orientation (latitude, longitude and azimuth angle) of a camera at ground level given a large-scale database of geo-tagged aerial (e.g., satellite…
Cross-View Geo-Localisationgeo-localizationThe StreetLearn Environment and Dataset
Navigation is a rich and well-grounded problem domain that drives progress in many different areas of research: perception, planning, memory, exploration, and optimisation in particular. Historically these challenges hav…
Cross-View Geo-LocalisationDecision MakingReinforcement Learning