LIDAR
A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, and simulators for robotics and autonomous driving.
What is LIDAR?
Awesome LIDAR is a curated GitHub repository that aggregates resources related to LIDAR technology and its applications. It provides a structured list of manufacturers, datasets, software libraries, algorithms, and simulators essential for working with 3D point cloud data. The project solves the problem of fragmented information by offering a single, community-maintained reference for developers and researchers in robotics, autonomous vehicles, and remote sensing.
Robotics engineers, autonomous vehicle researchers, computer vision scientists, and developers working with 3D sensing and point cloud processing who need a centralized resource for tools, data, and algorithms.
Developers choose Awesome LIDAR because it saves significant research time by providing a vetted, comprehensive, and well-organized directory. Unlike scattered searches, it offers direct links to key resources, highlights ROS compatibility, and is continuously updated by the community, ensuring relevance in a fast-evolving field.
Overview
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Use Cases
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