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.
Sgmnet:a scene graph encoding and matching network for uav visual localization.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17:9890– 9902, 2024
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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.