awesome-lidar
LIDAR catalog
A curated list of LIDAR sensors and their applications, including hardware manufacturers, datasets, point cloud-processing algorithms, and simulators.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
951 stars
31 watching
111 forks
last commit: 4 months ago
Linked from 2 awesome lists
3d3d-lidarautonomous-drivingawesomeawesome-listlidarobstacle-detectionpoint-cloudpointcloudsimulatorslamszeszegyetemszenergy
Awesome LIDAR / Conventions | |||
| ROS 2 | Any list item with badge is compatible | ||
Awesome LIDAR / Manufacturers | |||
| Velodyne | Ouster and Velodyne announced the successful completion of their of equals, effective February 10, 2023. Velodyne was a mechanical and solid-state LIDAR manufacturer. The headquarter is in San Jose, California, USA | ||
Awesome LIDAR / Manufacturers / Velodyne | |||
| YouTube channel | |||
| ROS driver | 657 | 21 days ago | |
| C++/Python library | 40 | 3 months ago | |
Awesome LIDAR / Manufacturers | |||
| Ouster | LIDAR manufacturer, specializing in digital-spinning LiDARs. Ouster is headquartered in San Francisco, USA | ||
Awesome LIDAR / Manufacturers / Ouster | |||
| YouTube channel | |||
| GitHub organization | |||
Awesome LIDAR / Manufacturers | |||
| Livox | LIDAR manufacturer | ||
Awesome LIDAR / Manufacturers / Livox | |||
| YouTube channel | |||
| GitHub organization | |||
Awesome LIDAR / Manufacturers | |||
| SICK | Sensor and automation manufacturer, the headquarter is located in Waldkirch, Germany | ||
Awesome LIDAR / Manufacturers / SICK | |||
| YouTube channel | |||
| GitHub organization | |||
Awesome LIDAR / Manufacturers | |||
| Hokuyo | Sensor and automation manufacturer, headquartered in Osaka, Japan | ||
Awesome LIDAR / Manufacturers / Hokuyo | |||
| YouTube channel | |||
Awesome LIDAR / Manufacturers | |||
| Pioneer | LIDAR manufacturer, specializing in MEMS mirror-based raster scanning LiDARs (3D-LiDAR). Pioneer is headquartered in Tokyo, Japan | ||
Awesome LIDAR / Manufacturers / Pioneer | |||
| YouTube channel | |||
Awesome LIDAR / Manufacturers | |||
| Luminar | LIDAR manufacturer focusing on compact, auto-grade sensors. Luminar is headquartered Palo Alto, California, USA | ||
Awesome LIDAR / Manufacturers / Luminar | |||
| Vimeo channel | |||
| GitHub organization | |||
Awesome LIDAR / Manufacturers | |||
| Hesai | Hesai Technology is a LIDAR manufacturer, founded in Shanghai, China | ||
Awesome LIDAR / Manufacturers / Hesai | |||
| YouTube channel | |||
| GitHub organization | |||
Awesome LIDAR / Manufacturers | |||
| Robosense | RoboSense (Suteng Innovation Technology Co., Ltd.) is a LIDAR sensor, AI algorithm and IC chipset maufactuirer based in Shenzhen and Beijing (China) | ||
Awesome LIDAR / Manufacturers / Robosense | |||
| YouTube channel | |||
| GitHub organization | |||
Awesome LIDAR / Manufacturers | |||
| LSLIDAR | LSLiDAR (Leishen Intelligent System Co., Ltd.) is a LIDAR sensor manufacturer and complete solution provider based in Shenzhen, China | ||
Awesome LIDAR / Manufacturers / LSLIDAR | |||
| YouTube channel | |||
| GitHub organization | |||
Awesome LIDAR / Manufacturers | |||
| Ibeo | Ibeo Automotive Systems GmbH is an automotive industry / environmental detection laserscanner / LIDAR manufacturer, based in Hamburg, Germany | ||
Awesome LIDAR / Manufacturers / Ibeo | |||
| YouTube channel | |||
Awesome LIDAR / Manufacturers | |||
| Innoviz | Innoviz technologies / specializes in solid-state LIDARs | ||
Awesome LIDAR / Manufacturers / Innoviz | |||
| YouTube channel | |||
Awesome LIDAR / Manufacturers | |||
| 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 | ||
Awesome LIDAR / Manufacturers / Quanenergy | |||
| YouTube channel | |||
Awesome LIDAR / Manufacturers | |||
| 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 | ||
Awesome LIDAR / Manufacturers / Cepton | |||
| YouTube channel | |||
Awesome LIDAR / Manufacturers | |||
| Blickfeld | Blickfeld is a solid-state LIDAR manufacturer for autonomous mobility and IoT, based in München, Germany | ||
Awesome LIDAR / Manufacturers / Blickfeld | |||
| YouTube channel | |||
| GitHub organization | |||
Awesome LIDAR / Manufacturers | |||
| Neuvition | Neuvition is a solid-state LIDAR manufacturer based in Wujiang, China | ||
Awesome LIDAR / Manufacturers / Neuvition | |||
| YouTube channel | |||
Awesome LIDAR / Manufacturers | |||
| 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 | ||
Awesome LIDAR / Manufacturers / Aeva | |||
| YouTube channel | |||
| GitHub organization | |||
Awesome LIDAR / Manufacturers | |||
| XenomatiX | XenomatiX offers true solid-state lidar sensors based on a multi-beam lasers concept. XenomatiX is headquartered in Leuven, Belgium | ||
Awesome LIDAR / Manufacturers / XenomatiX | |||
| YouTube channel | |||
Awesome LIDAR / Manufacturers | |||
| MicroVision | A pioneer in MEMS-based laser beam scanning technology, the main focus is on building Automotive grade Lidar sensors, located in Hamburg, Germany | ||
Awesome LIDAR / Manufacturers / MicroVision | |||
| YouTube channel | |||
| GitHub organization | |||
Awesome LIDAR / Manufacturers | |||
| 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 | ||
Awesome LIDAR / Manufacturers / PreAct | |||
| YouTube channel | |||
Awesome LIDAR / Manufacturers | |||
| Pepperl+Fuchs | Is a global technology company, specialized in innovative automation solutions and sensor technologies, such as LiDAR, based in Mannheim, Germany | ||
Awesome LIDAR / Manufacturers / Pepperl+Fuchs | |||
| YouTube channel | |||
| YouTube channel | |||
| GitHub organization | |||
Awesome LIDAR / 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 | ||
Awesome LIDAR / Datasets / Ford Dataset | |||
| Paper | |||
| GitHub repository | 294 | over 1 year ago | |
Awesome LIDAR / Datasets | |||
| Audi A2D2 Dataset | The dataset features 2D semantic segmentation, 3D point clouds, 3D bounding boxes, and vehicle bus data | ||
Awesome LIDAR / Datasets / Audi A2D2 Dataset | |||
| Paper | |||
Awesome LIDAR / Datasets | |||
| 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 | ||
Awesome LIDAR / Datasets / Oxford RobotCar | |||
| YouTube channel | |||
| Paper | |||
Awesome LIDAR / Datasets | |||
| 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 | ||
Awesome LIDAR / Datasets / NuScenes | |||
| Paper | |||
Awesome LIDAR / Datasets | |||
| 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 | ||
Awesome LIDAR / Datasets / Semantic KITTI | |||
| YouTube video | |||
Awesome LIDAR / Datasets | |||
| CADC - Canadian Adverse Driving Conditions Dataset | Public large-scale dataset for autonomous driving in adverse weather conditions (snowy weather) | ||
Awesome LIDAR / Datasets / CADC - Canadian Adverse Driving Conditions Dataset | |||
| Paper | |||
Awesome LIDAR / Datasets | |||
| 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 | ||
Awesome LIDAR / Datasets / UofTPed50 Dataset | |||
| Paper | |||
Awesome LIDAR / Datasets | |||
| 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 | ||
Awesome LIDAR / Datasets / Cirrus dataset | |||
| Paper | |||
Awesome LIDAR / Datasets | |||
| 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 | ||
Awesome LIDAR / Datasets / USyd Dataset- The Univerisity of Sydney Campus- Dataset | |||
| Paper | |||
Awesome LIDAR / Datasets | |||
| Brno Urban Dataset | 150 | about 3 years ago | Navigation and localisation dataset for self driving cars and autonomous robots in Brno, Czechia |
Awesome LIDAR / Datasets / Brno Urban Dataset | |||
| Paper | |||
| YouTube video | |||
Awesome LIDAR / Datasets | |||
| Argoverse | A dataset designed to support autonomous vehicle perception tasks including 3D tracking and motion forecasting collected in Pittsburgh, Pennsylvania and Miami, Florida, USA | ||
Awesome LIDAR / Datasets / Argoverse | |||
| Paper | |||
| YouTube video | |||
Awesome LIDAR / Datasets | |||
| 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 | ||
Awesome LIDAR / Datasets / Boreas Dataset | |||
| Paper 📰 | |||
| GitHub repository | 94 | 3 months ago | |
Awesome LIDAR / Libraries | |||
| Point Cloud Library (PCL) | Popular highly parallel programming library, with numerous industrial and research use-cases | ||
Awesome LIDAR / Libraries / Point Cloud Library (PCL) | |||
| GitHub repository | 10,002 | 6 days ago | |
Awesome LIDAR / Libraries | |||
| Open3D library | Open3D library contanins 3D data processing and visualization algorithms. It is open-source and supports both C++ and Python | ||
Awesome LIDAR / Libraries / Open3D library | |||
| GitHub repository | 11,474 | 5 days ago | |
| YouTube channel | |||
Awesome LIDAR / Libraries | |||
| PyTorch Geometric | A geometric deep learning extension library for PyTorch | ||
Awesome LIDAR / Libraries / PyTorch Geometric | |||
| GitHub repository | 21,382 | 6 days ago | |
Awesome LIDAR / Libraries | |||
| PyTorch3d | PyTorch3d is a library for deep learning with 3D data written and maintained by the Facebook AI Research Computer Vision Team | ||
Awesome LIDAR / Libraries / PyTorch3d | |||
| GitHub repository | 8,806 | 15 days ago | |
Awesome LIDAR / Libraries | |||
| Kaolin | Kaolin is a PyTorch Library for Accelerating 3D Deep Learning Research written by NVIDIA Technologies for game and application developers | ||
Awesome LIDAR / Libraries / Kaolin | |||
| GitHub repository | 4,497 | 8 days ago | |
| Paper | |||
Awesome LIDAR / Libraries | |||
| PyVista | 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit | ||
Awesome LIDAR / Libraries / PyVista | |||
| GitHub repository | 2,725 | 4 days ago | |
| Paper | |||
Awesome LIDAR / Libraries | |||
| pyntcloud | Pyntcloud is a Python 3 library for working with 3D point clouds leveraging the power of the Python scientific stack | ||
Awesome LIDAR / Libraries / pyntcloud | |||
| GitHub repository | 1,415 | 10 months ago | |
Awesome LIDAR / Libraries | |||
| pointcloudset | Python library for efficient analysis of large datasets of point clouds recorded over time | ||
Awesome LIDAR / Libraries / pointcloudset | |||
| GitHub repository | 44 | over 1 year ago | |
Awesome LIDAR / Frameworks | |||
| Autoware | Popular framework in academic and research applications of autonomous vehicles | ||
Awesome LIDAR / Frameworks / Autoware | |||
| GitHub oragnization | |||
| Paper | |||
Awesome LIDAR / Frameworks | |||
| Baidu Apollo | Apollo is a popular framework which accelerates the development, testing, and deployment of Autonomous Vehicles | ||
Awesome LIDAR / Frameworks / Baidu Apollo | |||
| GitHub repository | 25,218 | 10 days ago | |
| YouTube channel | |||
Awesome LIDAR / Algorithms / Basic matching algorithms | |||
| Iterative closest point (ICP) | The must-have algorithm for feature matching applications (ICP) | ||
Awesome LIDAR / Algorithms / Basic matching algorithms / Iterative closest point (ICP) | |||
| GitHub repository | 298 | about 1 year ago | simpleICP C++ /Julia / Matlab / Octave / Python implementation |
| GitHub repository | 1,625 | about 1 month ago | libpointmatcher, a modular library implementing the ICP algorithm |
| Paper | libpointmatcher: Comparing ICP variants on real-world data sets | ||
Awesome LIDAR / Algorithms / Basic matching algorithms | |||
| 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 | ||
Awesome LIDAR / Algorithms / Basic matching algorithms / KISS-ICP | |||
| GitHub repository | 1,585 | about 1 month ago | |
| Paper | |||
Awesome LIDAR / Algorithms / Semantic segmentation | |||
| RangeNet++ | Fast and Accurate LiDAR Sematnic Segmentation with fully convolutional network | ||
Awesome LIDAR / Algorithms / Semantic segmentation / RangeNet++ | |||
| GitHub repository | 312 | over 2 years ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Semantic segmentation | |||
| PolarNet | An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation | ||
Awesome LIDAR / Algorithms / Semantic segmentation / PolarNet | |||
| GitHub repository | 378 | over 3 years ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Semantic segmentation | |||
| Frustum PointNets | Frustum PointNets for 3D Object Detection from RGB-D Data | ||
Awesome LIDAR / Algorithms / Semantic segmentation / Frustum PointNets | |||
| GitHub repository | 1,592 | over 4 years ago | |
Awesome LIDAR / Algorithms / Semantic segmentation | |||
| Study of LIDAR Semantic Segmentation | Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study IV 2020 | ||
Awesome LIDAR / Algorithms / Semantic segmentation / Study of LIDAR Semantic Segmentation | |||
| Paper | |||
| GitHub repository | |||
Awesome LIDAR / Algorithms / Semantic segmentation | |||
| LIDAR-MOS | Moving Object Segmentation in 3D LIDAR Data | ||
Awesome LIDAR / Algorithms / Semantic segmentation / LIDAR-MOS | |||
| GitHub repository | 602 | almost 2 years ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Semantic segmentation | |||
| SuperPoint Graph | Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs | ||
Awesome LIDAR / Algorithms / Semantic segmentation / SuperPoint Graph | |||
| GitHub repository | 763 | over 1 year ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Semantic segmentation | |||
| RandLA-Net | Efficient Semantic Segmentation of Large-Scale Point Clouds | ||
Awesome LIDAR / Algorithms / Semantic segmentation / RandLA-Net | |||
| GitHub repository | 1,312 | over 1 year ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Semantic segmentation | |||
| Automatic labelling | Automatic labelling of urban point clouds using data fusion | ||
Awesome LIDAR / Algorithms / Semantic segmentation / Automatic labelling | |||
| GitHub repository | 167 | almost 2 years ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Ground segmentation | |||
| Plane Seg | 160 | almost 3 years ago | ROS comapatible ground plane segmentation; a library for fitting planes to LIDAR |
Awesome LIDAR / Algorithms / Ground segmentation / Plane Seg | |||
| YouTube video | |||
Awesome LIDAR / Algorithms / Ground segmentation | |||
| LineFit Graph | Line fitting-based fast ground segmentation for horizontal 3D LiDAR data | ||
Awesome LIDAR / Algorithms / Ground segmentation / LineFit Graph | |||
| GitHub repository | 685 | 4 months ago | |
Awesome LIDAR / Algorithms / Ground segmentation | |||
| Patchwork | Region-wise plane fitting-based robust and fast ground segmentation for 3D LiDAR data | ||
Awesome LIDAR / Algorithms / Ground segmentation / Patchwork | |||
| GitHub repository | 487 | about 1 month ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Ground segmentation | |||
| Patchwork++ | Improved version of Patchwork. Patchwork++ provides pybinding as well for deep learning users | ||
Awesome LIDAR / Algorithms / Ground segmentation / Patchwork++ | |||
| GitHub repository | 330 | 6 months ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / 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 | 2,413 | 3 months ago | A lightweight and ground optimized lidar odometry and mapping (LeGO-LOAM) system for ROS compatible UGVs |
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM / LeGO-LOAM | |||
| YouTube video | |||
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM | |||
| Cartographer | 7,166 | 11 months ago | Cartographer is ROS compatible system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations |
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM / Cartographer | |||
| YouTube video | |||
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM | |||
| SuMa++ | LiDAR-based Semantic SLAM | ||
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM / SuMa++ | |||
| GitHub repository | 923 | 8 months ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM | |||
| OverlapNet | Loop Closing for LiDAR-based SLAM | ||
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM / OverlapNet | |||
| GitHub repository | 665 | over 1 year ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM | |||
| LIO-SAM | Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping | ||
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM / LIO-SAM | |||
| GitHub repository | 3,476 | 2 months ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM | |||
| Removert | Remove, then Revert: Static Point cloud Map Construction using Multiresolution Range Images | ||
Awesome LIDAR / Algorithms / Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM / Removert | |||
| GitHub repository | 546 | almost 3 years ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / 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 | ||
Awesome LIDAR / Algorithms / Object detection and object tracking / Learning to Optimally Segment Point Clouds | |||
| YouTube video | |||
| GitHub repository | 23 | over 3 years ago | |
Awesome LIDAR / Algorithms / Object detection and object tracking | |||
| 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 | ||
Awesome LIDAR / Algorithms / Object detection and object tracking / Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection | |||
| YouTube video | |||
Awesome LIDAR / Algorithms / Object detection and object tracking | |||
| What You See is What You Get: Exploiting Visibility for 3D Object Detection | By Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan, 2019 | ||
Awesome LIDAR / Algorithms / Object detection and object tracking / What You See is What You Get: Exploiting Visibility for 3D Object Detection | |||
| YouTube video | |||
| GitHub repository | 115 | about 4 years ago | |
Awesome LIDAR / Algorithms / Object detection and object tracking | |||
| urban_road_filter | - Real-Time LIDAR-Based Urban Road and Sidewalk Detection for Autonomous Vehicles | ||
Awesome LIDAR / Algorithms / Object detection and object tracking / urban_road_filter | |||
| GitHub repository | 295 | 11 months ago | |
| YouTube video | |||
Awesome LIDAR / Algorithms / Object detection and object tracking | |||
| 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 | ||
Awesome LIDAR / Algorithms / Object detection and object tracking / detection_by_tracker | |||
| GitHub | |||
| YouTube video | |||
Awesome LIDAR / LIDAR-other-sensor calibration | |||
| direct_visual_lidar_calibration | General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox | ||
Awesome LIDAR / LIDAR-other-sensor calibration / direct_visual_lidar_calibration | |||
| GitHub repository | 758 | 11 days ago | |
| Paper | |||
Awesome LIDAR / LIDAR-other-sensor calibration | |||
| OpenCalib | 2,412 | 5 months ago | A Multi-sensor Calibration Toolbox for Autonomous Driving |
Awesome LIDAR / LIDAR-other-sensor calibration / OpenCalib | |||
| Paper | |||
Awesome LIDAR / Simulators | |||
| CoppeliaSim | Cross-platform general-purpose robotic simulator (formerly known as V-REP) | ||
Awesome LIDAR / Simulators / CoppeliaSim | |||
| YouTube channel | |||
Awesome LIDAR / Simulators | |||
| OSRF Gazebo | OGRE-based general-purpose robotic simulator, ROS/ROS 2 compatible | ||
Awesome LIDAR / Simulators / OSRF Gazebo | |||
| GitHub repository | 1,194 | 6 days ago | |
Awesome LIDAR / Simulators | |||
| CARLA | Unreal Engine based simulator for automotive applications. Compatible with Autoware, Baidu Apollo and ROS/ROS 2 | ||
Awesome LIDAR / Simulators / CARLA | |||
| GitHub repository | 11,377 | 6 days ago | |
| YouTube channel | |||
Awesome LIDAR / Simulators | |||
| LGSVL / SVL | Unity Engine based simulator for automotive applications. Compatible with Autoware, Baidu Apollo and ROS/ROS 2. LG has made the difficult decision to active development of SVL Simulator | ||
Awesome LIDAR / Simulators / LGSVL / SVL | |||
| GitHub repository | 2,288 | over 1 year ago | |
| YouTube channel | |||
Awesome LIDAR / Simulators | |||
| OSSDC SIM | 82 | over 1 year ago | 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 |
Awesome LIDAR / Simulators / OSSDC SIM | |||
| GitHub repository | 82 | over 1 year ago | |
| YouTube video | |||
Awesome LIDAR / Simulators | |||
| AirSim | Unreal Engine based simulator for drones and automotive. Compatible with ROS | ||
Awesome LIDAR / Simulators / AirSim | |||
| GitHub repository | 16,466 | 5 months ago | |
| YouTube video | |||
Awesome LIDAR / Simulators | |||
| AWSIM | Unity Engine based simulator for automotive applications. Compatible with Autoware and ROS 2 | ||
Awesome LIDAR / Simulators / AWSIM | |||
| GitHub repository | 518 | 3 days ago | |
| YouTube video | |||
Awesome LIDAR / Related awesome | |||
| Awesome point cloud analysis | 4,067 | over 1 year ago | |
| Awesome robotics | 4,387 | about 2 months ago | |
| Awesome robotics libraries | 2,327 | 5 months ago | |
| Awesome ROS 2 | 1,703 | over 1 year ago | |
| Awesome artificial intelligence | 10,977 | 28 days ago | |
| Awesome computer vision | 21,049 | 6 months ago | |
| Awesome machine learning | 66,046 | 10 days ago | |
| Awesome deep learning | 24,271 | 7 months ago | |
| Awesome reinforcement learning | 8,860 | over 1 year ago | |
| Awesome SLAM datasets | 1,718 | 4 months ago | |
| Awesome electronics | 6,002 | 2 months ago | |
| Awesome vehicle security and car hacking | 3,173 | 3 months ago | |
| Awesome LIDAR-Camera calibration | 963 | 3 months ago | |
| Awesome LiDAR Place Recognition | |||
Awesome LIDAR / Others | |||
| ARHeadsetKit | 124 | over 1 year ago | Using $5 Google Cardboard to replicate Microsoft Hololens. Hosts the source code for research on |
| Pointcloudprinter | 152 | almost 4 years ago | 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 | ||
Awesome LIDAR / Others / CloudCompare | |||
| GitHub repository | |||
Awesome LIDAR / Others | |||
| Pcx | 1,352 | about 2 years ago | Point cloud importer/renderer for Unity |
| Bpy | 970 | over 1 year ago | Point cloud importer/renderer/editor for Blender, Point Cloud visualizer |
| Semantic Segmentation Editor | 1,810 | 2 months ago | Point cloud and image semantic segmentation editor by Hitachi Automotive And Industry Laboratory, point cloud annotator / labeling |
| 3D Bounding Box Annotation Tool | 646 | 9 months ago | 3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams, point cloud annotator / labeling |
Awesome LIDAR / Others / 3D Bounding Box Annotation Tool | |||
| Paper | |||
| YouTube video | |||
Awesome LIDAR / Others | |||
| Photogrammetry importer | 912 | 5 months ago | Blender addon to import reconstruction results of several libraries |
| 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 | ||
Awesome LIDAR / Others / Foxglove | |||
| GitHub repository | 12 | 4 months ago | |
| YouTube channel | |||
Awesome LIDAR / Others | |||
| MeshLab | MeshLab is an open source, portable, and extensible system for the processing and editing 3D triangular meshes and pointcloud | ||
Awesome LIDAR / Others / MeshLab | |||
| GitHub repository | 4,802 | 7 days ago | |
sindresorhus/awesome
0ex/more-awesome
mikeroyal/photogrammetry-guide
jlblancoc/nanoflann
kzampog/cilantro
zuzoovn/machine-learning-for-software-engineers
lutzroeder/netron
teamstuq/skill-map
codingtrain/machine-learning
hongwenzhang/pymaf-x
d-seams/seams-core
ucb-bar/rose
colmap/colmap
nutonomy/nuscenes-devkit