GeoISF builds an instance semantic forest from WordNet across multiple frames to improve semantic alignment and match ground LiDAR to large satellite images, reporting 13.22x better R@10 on KITTI than prior LiDAR-to-image methods.
City -wide street-to-satellite image geo-localization of a mobile ground agent,
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GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image
GeoISF builds an instance semantic forest from WordNet across multiple frames to improve semantic alignment and match ground LiDAR to large satellite images, reporting 13.22x better R@10 on KITTI than prior LiDAR-to-image methods.