Swiss3DCities: Aerial Photogrammetric 3D Pointcloud Dataset with Semantic Labels
收藏数据链接：
官方服务：
资源简介：
We introduce a new outdoor urban 3D pointcloud dataset, covering a total area of 2.7 km<sup>2</sup>, sampled from three Swiss cities with different characteristics. The dataset is manually annotated for semantic segmentation with per-point labels, and is built using photogrammetry from images acquired by multirotors equipped with high-resolution cameras. In contrast to datasets acquired with ground LiDAR sensors, the resulting point clouds are uniformly dense and complete, and are useful to disparate applications, including autonomous driving, gaming, smart city planning, and robotics.
提供机构：
Zenodo创建时间：
2020-12-25
