🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)

[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"

Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments

This is a lidar segmentation method based on range image.

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)

Cross-platform library to communicate with LiDAR devices of the Blickfeld GmbH.

Rust-based 3D point cloud alignment

This package developed in ROS is for point cloud processing of a livox360 sensor.

Codes written for assignments of CS60052 (Spring'20)

C++ and Python library for lossless range image generation and reconstruction from spinning 3D LiDAR point clouds. Automatically estimates all intrinsic sensor parameters from data without calibration files.

Complete reproducible workflow for ALICE-LRI experiments: code, scripts, and configuration to reproduce all experiments, results, and figures from data preparation to paper outputs across KITTI and DurLAR datasets.