A GNSS-free ground vehicle localization method that matches LiDAR-camera bird's-eye images to satellite maps in a learned road similarity space, reporting 3.41 m mean error over 10 km in field tests.
Orienternet: Visual localization in 2d public maps with neural match- ing,
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Road Similarity-Based BEV-Satellite Image Matching for UGV Localization
A GNSS-free ground vehicle localization method that matches LiDAR-camera bird's-eye images to satellite maps in a learned road similarity space, reporting 3.41 m mean error over 10 km in field tests.