SynLiDAR dataset: Learning From Synthetic LiDAR Sequential Point Cloud

Abstract

SynLiDAR is a large-scale synthetic LiDAR sequential point cloud dataset with point-wise annotations. 13 sequences of LiDAR point cloud with around 20k scans (over 19 billion points and 32 semantic classes) are collected from virtual urban cities, suburban towns, neighborhood, and harbor.

Paper

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation (AAAI 2022)