Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation

no code implementations • 10 Mar 2025 • Ziliang Miao, Runjian Chen, Yixi Cai, Buwei He, Wenquan Zhao, Wenqi Shao, Bo Zhang, Fu Zhang

Moving object segmentation (MOS) on LiDAR point clouds is crucial for autonomous systems like self-driving vehicles.

Self-Supervised Learning Semantic Segmentation

Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library

2 code implementations • 29 Nov 2022 • Xinyu Cai, Wentao Jiang, Runsheng Xu, Wenquan Zhao, Jiaqi Ma, Si Liu, Yikang Li

Through simulating point cloud data in different LiDAR placements, we can evaluate the perception accuracy of these placements using multiple detection models.