Popular GitHub Repositories for Lidar

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

An extension of Open3D to address 3D Machine Learning tasks

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

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-ICP, iG-LIO, SR-LIO application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.

GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles ?

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

[CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)