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Awesome LIDAR Awesome

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

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 2 compatible
  • 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.

  • YouTube channel
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    • C++/Python library
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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. ![](https://img.shields.io/badge/ROS-2-34aec5?style=flat-square&logo=ros)

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.

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

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.

  • Paper
    • GitHub repository
    • Paper
    • YouTube channel
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    • YouTube video
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  • 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.
    • Paper
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  • Brno Urban Dataset - Navigation and localisation dataset for self driving cars and autonomous robots in Brno, Czechia.
    • Paper
    • YouTube video
  • Argoverse - A dataset designed to support autonomous vehicle perception tasks including 3D tracking and motion forecasting collected in Pittsburgh, Pennsylvania and Miami, Florida, USA.
    • Paper
    • YouTube video
    • Paper 📰
    • GitHub repository

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.

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.

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  • PyTorch Geometric - A geometric deep learning extension library for PyTorch.
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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.

  • GitHub oragnization
    • Paper
    • GitHub repository
    • YouTube channel
  • ALFA Framework - An open-source framework for developing processing algorithms, with a focus on embedded platforms and hardware acceleration.
    • GitHub repository

Algorithms

Basic matching algorithms

  • Iterative closest point (ICP) - The must-have algorithm for feature matching applications (ICP).
    • GitHub repository - simpleICP C++ /Julia / Matlab / Octave / Python implementation.
    • GitHub repository - libpointmatcher, a modular library implementing the ICP algorithm.
    • Paper - libpointmatcher: Comparing ICP variants on real-world data sets.
  • Normal distributions transform - More recent massively-parallel approach to feature matching (NDT).
  • KISS-ICP - In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way.
    • GitHub repository
    • Paper

Semantic segmentation

Study of LIDAR Semantic Segmentation

Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study IV 2020.

  • RangeNet++ - Fast and Accurate LiDAR Sematnic Segmentation with fully convolutional network.
    • GitHub repository
    • YouTube video
  • PolarNet - An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation.
    • GitHub repository
    • YouTube video
  • Frustum PointNets - Frustum PointNets for 3D Object Detection from RGB-D Data.
    • GitHub repository
    • Paper
    • GitHub repository
  • LIDAR-MOS - Moving Object Segmentation in 3D LIDAR Data
    • GitHub repository
    • YouTube video
  • SuperPoint Graph - Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
    • GitHub repository
    • YouTube video
  • SuperPoint Transformer - Efficient 3D Semantic Segmentation with Superpoint Transformer
    • GitHub repository
    • YouTube video
  • RandLA-Net - Efficient Semantic Segmentation of Large-Scale Point Clouds
    • GitHub repository
    • YouTube video
  • Automatic labelling - Automatic labelling of urban point clouds using data fusion
    • GitHub repository
    • YouTube video

Ground segmentation

  • Plane Seg - ROS comapatible ground plane segmentation; a library for fitting planes to LIDAR.
    • YouTube video
  • LineFit Graph - Line fitting-based fast ground segmentation for horizontal 3D LiDAR data
    • GitHub repository
  • Patchwork - Region-wise plane fitting-based robust and fast ground segmentation for 3D LiDAR data
    • GitHub repository
    • YouTube video
  • Patchwork++ - Improved version of Patchwork. Patchwork++ provides pybinding as well for deep learning users
    • GitHub repository
    • YouTube video
  • GSeg3D - High-precision grid-based ground segmentation for LiDAR point clouds designed for safety-critical robotics and autonomous driving.
    • GitHub repository
    • ROS2 integration
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Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM

  • LOAM J. Zhang and S. Singh - LOAM: Lidar Odometry and Mapping in Real-time.
  • 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
  • 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.
    • YouTube video
  • SuMa++ - LiDAR-based Semantic SLAM.
    • GitHub repository
    • YouTube video
  • OverlapNet - Loop Closing for LiDAR-based SLAM.
    • GitHub repository
    • YouTube video
  • LIO-SAM - Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping.
    • GitHub repository
    • YouTube video
  • Removert - Remove, then Revert: Static Point cloud Map Construction using Multiresolution Range Images.
    • GitHub repository
    • YouTube video
  • RESPLE - Recursive Spline Estimation for LiDAR-Based Odometry
    • GitHub repository
    • YouTube video
  • KISS-SLAM - KISS-SLAM is a simple, robust, and accurate 3D LiDAR SLAM system that just works.
    • GitHub repository
  • FAST-LIO2 - Fast LiDAR-Inertial Odometry is a computationally efficient and robust LiDAR-inertial odometry package
    • GitHub repository
    • YouTube video
  • MOLA - Modular system for Localization and Mapping, providing LiDAR Odometry (LO), LiDAR-inertial Odometry (LIO), SLAM, localization-only modes, and geo-referencing.
    • GitHub repository
    • YouTube video

Object detection and object tracking

  • Learning to Optimally Segment Point Clouds - By Peiyun Hu, David Held, and Deva Ramanan at Carnegie Mellon University. IEEE Robotics and Automation Letters, 2020.
    • YouTube video
    • GitHub repository
  • Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection - By Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer. 30th IEEE Intelligent Vehicles Symposium, 2019.
    • YouTube video
  • What You See is What You Get: Exploiting Visibility for 3D Object Detection - By Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan, 2019.
    • YouTube video
    • GitHub repository
  • urban_road_filter -
    Real-Time LIDAR-Based Urban Road and Sidewalk Detection for Autonomous Vehicles
    • GitHub repository
    • YouTube video
  • detection_by_tracker - 3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties, also used in Autoware Universe
    • GitHub
    • YouTube video

LIDAR-other-sensor calibration

direct_visual_lidar_calibration

General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox

  • GitHub repository
    • Paper
  • OpenCalib - A Multi-sensor Calibration Toolbox for Autonomous Driving
    • Paper

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](https://www.svlsimulator.com/news/2022-01-20-svl-simulator-sunset) 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.

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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

Others

ARHeadsetKit

Using $5 Google Cardboard to replicate Microsoft Hololens. Hosts the source code for research on [scene color reconstruction](https://github.com/philipturner/scene-color-reconstruction).

CloudCompare

CloudCompare is a free, cross-platform point cloud editor software.

Foxglove

Foxglove Studio is an integrated visualization and diagnosis tool for robotics, available in your browser or for download as a desktop app on Linux, Windows, and macOS.

Lichtblick suite

Lichtblick is an open-source alternative to Foxglove Studio for visualizing and analyzing robotics data.

Rerun

Rerun is a tool for time-aware multimodal data stack and visualizations.

MeshLab

MeshLab is an open source, portable, and extensible system for the processing and editing 3D triangular meshes and pointcloud.

  • Pointcloudprinter - A tool to turn point cloud data from aerial lidar scans into solid meshes for 3D printing.
    • GitHub repository
  • Pcx - Point cloud importer/renderer for Unity.
  • Bpy - Point cloud importer/renderer/editor for Blender, Point Cloud visualizer.
  • Semantic Segmentation Editor - Point cloud and image semantic segmentation editor by Hitachi Automotive And Industry Laboratory, point cloud annotator / labeling.
  • 3D Bounding Box Annotation Tool - 3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams, point cloud annotator / labeling.
    • Paper
    • YouTube video
  • Photogrammetry importer - Blender addon to import reconstruction results of several libraries.
    • GitHub repository
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  • CloudPeek is a lightweight, c++ single-header, cross-platform point cloud viewer, designed for simplicity and efficiency without relying on heavy external libraries like PCL or Open3D.
    • GitHub repository
  • Which SLAM Algorithm Should I Choose? Slambotics - Choosing the Right SLAM Algorithm