5 papers
Fusing Satellite Imagery and Planimetric Maps for Cross-View Localization
Quang Long Ho Ngo, Zimin Xia, Alexandre Alahi
Current cross-view localization methods predominantly rely on satellite imagery as the aerial modality. Although recent work explores planimetric maps (e.g., OpenStreetMap tiles),…
PoseDriver: A Unified Approach to Multi-Category Skeleton Detection for Autonomous Driving
Yasamin Borhani, Taylor Mordan, Yihan Wang +3
Object skeletons offer a concise representation of structural information, capturing essential aspects of posture and orientation that are crucial for autonomous driving applicatio…
Loc: Interpretable Cross-View Localization via Depth-Lifted Local Feature Matching
Zimin Xia, Chenghao Xu, Alexandre Alahi
We propose an accurate and interpretable fine-grained cross-view localization method that estimates the 3 Degrees of Freedom (DoF) pose of a ground-level image by matching its loca…
GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
Shaowen Tong, Zimin Xia, Alexandre Alahi +2
Cross-view localization, the task of estimating a camera's 3-degrees-of-freedom (3-DoF) pose by aligning ground-level images with satellite images, is crucial for large-scale outdo…
FG: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
Zimin Xia, Alexandre Alahi
We propose a novel fine-grained cross-view localization method that estimates the 3 Degrees of Freedom pose of a ground-level image in an aerial image of the surroundings by matchi…