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Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset
[article]
2022
arXiv
pre-print
We present UrbanScene3D, a large-scale data platform for research of urban scene perception and reconstruction. UrbanScene3D contains over 128k high-resolution images covering 16 scenes including large-scale real urban regions and synthetic cities with 136 km^2 area in total. The dataset also contains high-precision LiDAR scans and hundreds of image sets with different observation patterns, which provide a comprehensive benchmark to design and evaluate aerial path planning and 3D reconstruction
arXiv:2107.04286v3
fatcat:sd4mztsfyngmjmug3srhuqb4gy