A self-supervised cross-view video localization framework uses pose-aware contrastive learning and a particle filter to localize off-road vehicles with outdated satellite imagery, achieving 93% within 25 meters on unseen trails.
Boosting 3-dof ground- to-satellite camera localization accuracy via geometry-guided cross-view transformer
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Spatiotemporal Contrastive Learning for Cross-View Video Localization in Unstructured Off-road Terrains
A self-supervised cross-view video localization framework uses pose-aware contrastive learning and a particle filter to localize off-road vehicles with outdated satellite imagery, achieving 93% within 25 meters on unseen trails.