awesome-lidar

3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams, point cloud annotator / labeling.

Using $5 Google Cardboard to replicate Microsoft Hololens. Hosts the source code for research on

Point cloud importer/renderer/editor for Blender, Point Cloud visualizer.

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

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.

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.

Blickfeld is a solid-state LIDAR manufacturer for autonomous mobility and IoT, based in München, Germany.

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.

Unreal Engine based simulator for drones and automotive. Compatible with ROS.

Unity Engine based simulator for automotive applications. Compatible with Autoware and ROS 2.

Unreal Engine based simulator for automotive applications. Compatible with Autoware, Baidu Apollo and ROS/ROS 2.

Cross-platform general-purpose robotic simulator (formerly known as V-REP).

An open-source framework for developing processing algorithms, with a focus on embedded platforms and hardware acceleration.

Popular framework in academic and research applications of autonomous vehicles.

Apollo is a popular framework which accelerates the development, testing, and deployment of Autonomous Vehicles.

A dataset designed to support autonomous vehicle perception tasks including 3D tracking and motion forecasting collected in Pittsburgh, Pennsylvania and Miami, Florida, USA.

The dataset features 2D semantic segmentation, 3D point clouds, 3D bounding boxes, and vehicle bus data.

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.

Navigation and localisation dataset for self driving cars and autonomous robots in Brno, Czechia.

Public large-scale dataset for autonomous driving in adverse weather conditions (snowy weather).

Automatic labelling of urban point clouds using data fusion

Cartographer is ROS compatible system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties, also used in Autoware Universe

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

Fast LiDAR-Inertial Odometry is a computationally efficient and robust LiDAR-inertial odometry package

Frustum PointNets for 3D Object Detection from RGB-D Data.