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oomwoo 是用 Python 编写的桌面应用，用于桌面端程序开发，主打开源免费。

Open-source vacuum robot cleaner

awesome-robotic-tooling 是一个资源清单，按主题汇总同类优质资源。

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

bevfusion 是用 Python 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

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

LeGO-LOAM 是用 C++ 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打轻量。

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

OpenSimpleLidar 是用 C 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打开源免费。

Open Source scanning laser rangefinder

A-LOAM 是用 C++ 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

Advanced implementation of LOAM

Open3D-ML 是用 Python 编写的可视化工具，用于图表与数据展示。

An extension of Open3D to address 3D Machine Learning tasks

hdl_graph_slam 是用 C++ 编写的运维工具，用于部署、编排与监控。

3D LIDAR-based Graph SLAM

glim 是用 C++ 编写的开发框架，提供应用开发的基础结构，主打可扩展。

GLIM: versatile and extensible point cloud-based 3D localization and mapping framework

libpointmatcher 是用 C++ 编写的运维工具，用于部署、编排与监控。

An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics

lidar_camera_calibration 是用 C++ 编写的运维工具，用于部署、编排与监控。

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

loam_velodyne 是用 C++ 编写的 AI 工具，用于人工智能方向的建模与推理。

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

direct_visual_lidar_calibration 是用 C++ 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]

Photogrammetry-Guide 是用 Python 编写的多媒体工具，用于处理音视频内容。

Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction,…

cv-arxiv-daily 是用 Python 编写的学习资料，用于系统学习与查阅。

🎓Automatically Update CV Papers Daily using Github Actions

awesome-lidar 是一个资源清单，按主题汇总同类优质资源。

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

Complex-YOLOv4-Pytorch 是用 Python 编写的运维工具，用于部署、编排与监控，主打实时。

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

depth_clustering 是用 C++ 编写的运维工具，用于部署、编排与监控，主打速度快。

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

SLAM-application 是用 C++ 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打速度快。

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-MUL…

patchwork-plusplus 是用 C++ 编写的运维工具，用于部署、编排与监控，主打速度快。

Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

loam code noted in Chinese（loam中文注解版）

loam code noted in Chinese（loam中文注解版）

direct_lidar_inertial_odometry 是用 C++ 编写的学习资料，用于算法与数据结构学习，主打轻量。

[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories…

direct_lidar_odometry 是用 C++ 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打轻量。

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

lidar-bonnetal 是用 Python 编写的学习资料，用于系统学习与查阅。

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving