Top AI Repos β open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
π Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
| Date | Stars |
|---|---|
| 2026-07-24 | 1311 |
| 2026-07-25 | 1311 |
| 2026-07-28 | 1311 |
| 2026-07-30 | 1311 |
| 2026-08-06 | 1311 |
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# Awesome LIDAR [](https://awesome.re)
<img src="img/lidar02.svg" align="right" width="200" alt="LIDAR" />
> A curated list of awesome LIDAR sensors and its applications.
[LIDAR](https://en.wikipedia.org/wiki/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](contributing.md) our guidelines.
> [!TIP]
> An optional view: [szenergy.github.io/awesome-lidar](https://szenergy.github.io/awesome-lidar/)
>
> Source code: [github.com/szenergy/awesome-lidar](https://github.com/szenergy/awesome-lidar)
## Contents
- [Awesome LIDAR ](#awesome-lidar-)
- [Contents](#contents)
- [Conventions](#conventions)
- [Manufacturers](#manufacturers)
- [Datasets](#datasets)
- [Libraries](#libraries)
- [Frameworks](#frameworks)
- [Algorithms](#algorithms)
- [Basic matching algorithms](#basic-matching-algorithms)
- [Semantic segmentation](#semantic-segmentation)
- [Ground segmentation](#ground-segmentation)
- [Simultaneous localization and mapping SLAM and LIDAR-based odometry and or mapping LOAM](#simultaneous-localization-and-mapping-slam-and-lidar-based-odometry-and-or-mapping-loam)
- [Object detection and object tracking](#object-detection-and-object-tracking)
- [LIDAR-other-sensor calibration](#lidar-other-sensor-calibration)
- [Simulators](#simulators)
- [Related awesome](#related-awesome)
- [Others](#others)
## 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`](https://docs.ros.org/) compatible
- Any list item with  badge has a GitHub repo or organization, the star count badge  shows the popularity of the repository
## Manufacturers
- [Velodyne](https://velodynelidar.com/) - 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.
- [YouTube channel ](https://www.youtube.com/user/VelodyneLiDAR)
- [ROS driver ](https://github.com/ros-drivers/velodyne) 
- [C++/Python library ](https://github.com/valgur/velodyne_decoder) 
- [Ouster](https://ouster.com/) - LIDAR manufacturer, specializing in digital-spinning LiDARs. Ouster is headquartered in San Francisco, USA.
- [YouTube channel ](https://www.youtube.com/c/Ouster-lidar)
- [GitHub organization ](https://github.com/ouster-lidar)  
- [Livox](httExcerpt of 63,561 characters
Read on GitHubErnΕ HorvΓ‘th Β· Szechenyi University Β· Hungary
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Hajdu Csaba Β· Hungary
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Hyungtae Lim Β· Zoox Β· United States
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Philip Turner
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Damien ROBERT Β· University of Zurich Β· Switzerland
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Martin Valgur Β· Estonia
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Would you bet a product on this? Bounded 0β100 and slow moving.
matched fp:85dd08e06596bb51, topic:autonomous-driving, topic:slam, readme:slam
matched fp:85dd08e06596bb51, topic:awesome, topic:awesome-list, readme:curated list