Bearing-UAV predicts UAV location and heading directly from cross-view image features, yielding lower localization error than tile-matching methods across diverse terrains on a new multi-city benchmark.
Hierarchical image matching for uav absolute visual localization via semantic and structural constraints
2 Pith papers cite this work. Polarity classification is still indexing.
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A survey of UAV vision-and-language navigation that establishes a methodological taxonomy, reviews resources and challenges, and proposes a forward-looking research roadmap.
citing papers explorer
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Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation
Bearing-UAV predicts UAV location and heading directly from cross-view image features, yielding lower localization error than tile-matching methods across diverse terrains on a new multi-city benchmark.
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Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap
A survey of UAV vision-and-language navigation that establishes a methodological taxonomy, reviews resources and challenges, and proposes a forward-looking research roadmap.