An open autonomous driving platform

Open3D: A Modern Library for 3D Data Processing

Point Cloud Library (PCL)

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

The Kalibr visual-inertial calibration toolbox

Lightning fast C++/CUDA neural network framework

open Multi-View Stereo reconstruction library

A Modular and Multi-Modal Mapping Framework

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

3D LIDAR-based Graph SLAM

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

GLOMAP - Global Structured-from-Motion Revisited

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

[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

loam code noted in Chinese（loam中文注解版）

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

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor

Interactive Map Correction for 3D Graph SLAM

[CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

⚡️The spatial perception framework for rapidly building smart robots and spaces

c++ cubic spline library

JNeRF is a NeRF benchmark based on Jittor. JNeRF re-implemented instant-ngp and achieved same performance with original paper.

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]

PlenOctree Volume Rendering (supports CUDA & fragment shader backends)

OpenXRLab Neural Radiance Field (NeRF) Toolbox and Benchmark

RaDe-GS: Rasterizing Depth in Gaussian Splatting

Image-to-point cloud Registration Tool

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb