CS-Campus3D (CrossSource-Campus3D)
Introduced by Guan et al. in CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition
We present CS-Campus3D, the first 3D aerial-ground cross-source dataset consisting of point cloud data from both aerial and ground LiDAR scans. The point clouds in CS-Campus3D have representation gaps and other features like different views, point densities, and noise pattern.
Benchmarks
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CS-Campus3D
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CrossLoc3D
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Papers
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