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awesome-lidar
szenergyCC0-1.0活跃维护一份激光雷达资源大全，汇总厂商、数据集、点云处理算法、框架和仿真器，方便自动驾驶和 SLAM 开发者快速找到所需工具。
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
暂无版本1,369star +1 / 7 天138fork同步于 2026-11-11 05:46 UTC
激光雷达资源大全，汇总厂商、数据集、点云算法、框架与仿真器，帮你快速选型
一份激光雷达资源大全，汇总厂商、数据集、点云处理算法、框架和仿真器，方便自动驾驶和 SLAM 开发者快速找到所需工具。
核心能力
- 按厂商、数据集、库、框架、算法、仿真器分类索引
- 标注 ROS 2 兼容、论文、YouTube 与 GitHub 星数徽章
- 算法细分为配准、语义分割、地面分割、SLAM、检测跟踪、标定
- 提供网页版浏览入口 szenergy.github.io/awesome-lidar
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Awesome LIDAR 
A curated list of awesome LIDAR sensors and its applications.
LIDAR is a remote sensing sensor that uses laser light to measure the surroundings in ~cm accuracy. The sensory data is usually referred as point cloud which means set of data points in 3D or 2D. The list contains hardwares, datasets, point cloud-processing algorithms, point cloud frameworks, simulators etc.
Contributions are welcome! Please check out our guidelines.
[!TIP] An optional view: szenergy.github.io/awesome-lidar
Source code: github.com/szenergy/awesome-lidar
Contents
- Awesome LIDAR
Conventions
- Any list item with
badge has YouTube videos or channel
- Any list item with
badge has a scientific paper or detailed description
- Any list item with
badge is
ROS 2compatible - Any list item with
badge has a GitHub repo or organization, the star count badge
shows the popularity of the repository
Manufacturers
- Velodyne - Ouster and Velodyne announced the successful completion of their merger of equals, effective February 10, 2023. Velodyne was a mechanical and solid-state LIDAR manufacturer. The headquarter is in San Jose, California, USA.
- Ouster - LIDAR manufacturer, specializing in digital-spinning LiDARs. Ouster is headquartered in San Francisco, USA.
- Livox - LIDAR manufacturer.
- SICK - Sensor and automation manufacturer, the headquarter is located in Waldkirch, Germany.
- Hokuyo - Sensor and automation manufacturer, headquartered in Osaka, Japan.
- Pioneer - LIDAR manufacturer, specializing in MEMS mirror-based raster scanning LiDARs (3D-LiDAR). Pioneer is headquartered in Tokyo, Japan.
- Luminar - LIDAR manufacturer focusing on compact, auto-grade sensors. Luminar is headquartered Palo Alto, California, USA.
- Hesai - Hesai Technology is a LIDAR manufacturer, founded in Shanghai, China.
- Robosense - RoboSense (Suteng Innovation Technology Co., Ltd.) is a LIDAR sensor, AI algorithm and IC chipset maufactuirer based in Shenzhen and Beijing (China).
- LSLIDAR - LSLiDAR (Leishen Intelligent System Co., Ltd.) is a LIDAR sensor manufacturer and complete solution provider based in Shenzhen, China.
- Ibeo - Ibeo Automotive Systems GmbH is an automotive industry / environmental detection laserscanner / LIDAR manufacturer, based in Hamburg, Germany.
- Innoviz - Innoviz technologies / specializes in solid-state LIDARs.
- Quanenergy - Quanenergy Systems / solid-state and mechanical LIDAR sensors / offers End-to-End solutions in Mapping, Industrial Automation, Transportation and Security. The headquarter is located in Sunnyvale, California, USA.
- Cepton - Cepton (Cepton Technologies, Inc.) / pioneers in frictionless, and mirrorless design, self-developed MMT (micro motion technology) lidar technology. The headquarter is located in San Jose, California, USA.
- Blickfeld - Blickfeld is a solid-state LIDAR manufacturer for autonomous mobility and IoT, based in München, Germany.
- Neuvition - Neuvition is a solid-state LIDAR manufacturer based in Wujiang, China.
- Aeva - Aeva is bringing the next wave of perception technology to all devices for automated driving, consumer electronics, health, industrial robotics and security, Mountain View, California, USA.
- XenomatiX - XenomatiX offers true solid-state lidar sensors based on a multi-beam lasers concept. XenomatiX is headquartered in Leuven, Belgium.
- MicroVision - A pioneer in MEMS-based laser beam scanning technology, the main focus is on building Automotive grade Lidar sensors, located in Hamburg, Germany.
- PreAct - PreAct's mission is to make life safer and more efficient for the automotive industry and beyond. The headquarter is located in Portland, Oregon, USA.
- Pepperl+Fuchs - Is a global technology company, specialized in innovative automation solutions and sensor technologies, such as LiDAR, based in Mannheim, Germany.
- Riegl - Riegl is a manufacturer of 3D laser scanning systems, based in Austria.
- ERDI - Laser rangefinder module and single-point LIDAR manufacturer (905 / 940 / 1535 nm, 9 m to 23 km), headquartered in Chengdu, China. Publishes an open specification dataset where every range figure keeps the verbatim test condition it was measured under.
Datasets
- Ford Dataset - The dataset is time-stamped and contains raw data from all the sensors, calibration values, pose trajectory, ground truth pose, and 3D maps. The data is Robot Operating System (ROS) compatible.
- Audi A2D2 Dataset - The dataset features 2D semantic segmentation, 3D point clouds, 3D bounding boxes, and vehicle bus data.
- Waymo Open Dataset - The dataset contains independently-generated labels for lidar and camera data, not simply projections.
- Oxford RobotCar - The Oxford RobotCar Dataset contains over 100 repetitions of a consistent route through Oxford, UK, captured over a period of over a year.
- EU Long-term Dataset - This dataset was collected with our robocar (in human driving mode of course), equipped up to eleven heterogeneous sensors, in the downtown (for long-term data) and a suburb (for roundabout data) of Montbéliard in France. The vehicle speed was limited to 50 km/h following the French traffic rules.
- NuScenes - Public large-scale dataset for autonomous driving.
- Lyft - Public dataset collected by a fleet of Ford Fusion vehicles equipped with LIDAR and camera.
- KITTI - Widespread public dataset, pirmarily focusing on computer vision applications, but also contains LIDAR point cloud.
- Semantic KITTI - Dataset for semantic and panoptic scene segmentation.
- CADC - Canadian Adverse Driving Conditions Dataset - Public large-scale dataset for autonomous driving in adverse weather conditions (snowy weather).
- UofTPed50 Dataset - University of Toronto, aUToronto's self-driving car dataset, which contains GPS/IMU, 3D LIDAR, and Monocular camera data. It can be used for 3D pedestrian detection.
- PandaSet Open Dataset - Public large-scale dataset for autonomous driving provided by Hesai & Scale. It enables researchers to study challenging urban driving situations using the full sensor suit of a real self-driving-car.
- Cirrus dataset A public datatset from non-uniform distribution of LIDAR scanning patterns with emphasis on long range. In this dataset Luminar Hydra LIDAR is used. The dataset is available at the Volvo Cars Innovation Portal.
- USyd Dataset- The Univerisity of Sydney Campus- Dataset - Long-term, large-scale dataset collected over the period of 1.5 years on a weekly basis over the University of Sydney campus and surrounds. It includes multiple sensor modalities and covers various environmental conditions. ROS compatible
- Brno Urban Dataset
- Navigation and localisation dataset for self driving cars and autonomous robots in Brno, Czechia.
- Argoverse
- A dataset designed to support autonomous vehicle perception tasks including 3D tracking and motion forecasting collected in Pittsburgh, Pennsylvania and Miami, Florida, USA.
- Boreas Dataset - The Boreas dataset was collected by driving a repeated route over the course of 1 year resulting in stark seasonal variations. In total, Boreas contains over 350km of driving data including several sequences with adverse weather conditions such as rain and heavy snow. The Boreas data-taking platform features a unique high-quality sensor suite with a 128-channel Velodyne Alpha Prime lidar, a 360-degree Navtech radar, and accurate ground truth poses obtained from an Applanix POSLV GPS/IMU.
Libraries
- Point Cloud Library (PCL) - Popular highly parallel programming library, with numerous industrial and research use-cases.
- Open3D library - Open3D library contanins 3D data processing and visualization algorithms. It is open-source and supports both C++ and Python.
- PyTorch Geometric
- PyTorch3d - PyTorch3d is a library for deep learning with 3D data written and maintained by the Facebook AI Research Computer Vision Team.
- Kaolin - Kaolin is a PyTorch Library for Accelerating 3D Deep Learning Research written by NVIDIA Technologies for game and application developers.
- PyVista - 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit.
- pyntcloud - Pyntcloud is a Python 3 library for working with 3D point clouds leveraging the power of the Python scientific stack.
- pointcloudset - Python library for efficient analysis of large datasets of point clouds recorded over time.
- LAStools - C++ library and command-line tools for pointcloud processing and data compressing.
- lasrs-cpp - C++20 and C library for reading and writing LAS, LAZ and COPC with parallel LAZ decoding, built on the Rust crates las-rs and laz-rs.
Frameworks
- Autoware - Popular framework in academic and research applications of autonomous vehicles.
- Baidu Apollo - Apollo is a popular framework which accelerates the development, testing, and deployment of Autonomous Vehicles.
- ALFA Framework
Algorithms
Basic matching algorithms
- Iterative closest point (ICP)
- GitHub repository
- simpleICP C++ /Julia / Matlab / Octave / Python implementation.
- GitHub repository
- libpointmatcher, a modular library implementing the ICP algorithm.
- Paper
- GitHub repository
- Normal distributions transform
- KISS-ICP
Semantic segmentation
- RangeNet++
- PolarNet
- Frustum PointNets
- Study of LIDAR Semantic Segmentation - Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study IV 2020.
- LIDAR-MOS
- SuperPoint Graph
- SuperPoint Transformer
- RandLA-Net
- Automatic labelling
Ground segmentation
- Plane Seg
- ROS comapatible ground plane segmentation; a library for fitting planes to LIDAR.
- LineFit Graph
- Patchwork
- Patchwork++
- GSeg3D
Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM
- LOAM J. Zhang and S. Singh
- LeGO-LOAM
- A lightweight and ground optimized lidar odometry and mapping (LeGO-LOAM) system for ROS compatible UGVs.
- YouTube video
- ROS 2 verison on different repo: GitHub repository
- YouTube video
- Cartographer
- Cartographer is ROS compatible system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
- SuMa++
- OverlapNet
- LIO-SAM
- Removert
- RESPLE
- KISS-SLAM
- FAST-LIO2
- MOLA
Object detection and object tracking
- Learning to Optimally Segment Point Clouds
- Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection
- What You See is What You Get: Exploiting Visibility for 3D Object Detection
- urban_road_filter
- detection_by_tracker
LIDAR-other-sensor calibration
- direct_visual_lidar_calibration - General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox
- OpenCalib
- A Multi-sensor Calibration Toolbox for Autonomous Driving
Simulators
- CoppeliaSim - Cross-platform general-purpose robotic simulator (formerly known as V-REP).
- OSRF Gazebo - OGRE-based general-purpose robotic simulator, ROS/ROS 2 compatible.
- CARLA - Unreal Engine based simulator for automotive applications. Compatible with Autoware, Baidu Apollo and ROS/ROS 2.
- LGSVL / SVL - Unity Engine based simulator for automotive applications. Compatible with Autoware, Baidu Apollo and ROS/ROS 2. Note: LG has made the difficult decision to suspend active development of SVL Simulator.
- OSSDC SIM - Unity Engine based simulator for automotive applications, based on the suspended LGSVL simulator, but an active development. Compatible with Autoware, Baidu Apollo and ROS/ROS 2.
- AirSim - Unreal Engine based simulator for drones and automotive. Compatible with ROS.
- AWSIM - Unity Engine based simulator for automotive applications. Compatible with Autoware and ROS 2.
Related awesome
- Awesome point cloud analysis
- Awesome robotics
- Awesome robotics libraries
- Awesome ROS 2
- Awesome artificial intelligence
- Awesome computer vision
- Awesome machine learning
- Awesome deep learning
- Awesome reinforcement learning
- Awesome SLAM datasets
- Awesome electronics
- Awesome vehicle security and car hacking
- Awesome LIDAR-Camera calibration
- Awesome LiDAR Place Recognition
- Awesome-LiDAR-MOS
Moving Object Segmentation
- Awesome-LiDAR-Visual-SLAM
- Awesome LIDAR
- Awesome AR
Others
- ARHeadsetKit - Using $5 Google Cardboard to replicate Microsoft Hololens. Hosts the source code for research on scene color reconstruction.
- Pointcloudprinter
- A tool to turn point cloud data from aerial lidar scans into solid meshes for 3D printing.
- CloudCompare - CloudCompare is a free, cross-platform point cloud editor software.
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