The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21

Intensity-based_Lidar_Camera_Calibration

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning

[CVPR 2024 Oral, Best Paper Award Candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

LiDAR snowfall simulation

LiDAR fog simulation

Implementation of IROS20 paper - "Semantic Graph Based Place Recognition for 3D Point Clouds"

Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.

Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)

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

A novel visual tool