HuangCongQing/pcl-learning resource

Health v2 · maintenance only

Adoption not part of the score

1935 stars · 447 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated learning repository of C++ example code and notes for the Point Cloud Library (PCL), covering I/O, filtering, features, kd-trees, octrees, segmentation, and 3D reconstruction. It includes sample PCD data, accompanying written notes, and video tutorials, oriented toward LiDAR and autonomous driving applications.

Use cases

• learn point cloud processing with PCL
• filter and segment 3D LiDAR point clouds
• read and write PCD files in C++
• get started with 3D reconstruction from point clouds
• find PCL example code for kd-tree and octree operations
• prepare for LiDAR perception work in self-driving cars

When to choose

• you are learning PCL from scratch with runnable C++ examples
• you work with LiDAR data for robotics or autonomous driving
• you want tutorial notes plus sample PCD data in one place

When to avoid

• you need a production point cloud processing library - use PCL itself
• you want a maintained software tool rather than educational material
• you need Python point cloud tooling like Open3D

Facets

learning-resource · maturity active

computer-vision image-processing graphics developer-tools computer-vision robotics autonomous-vehicles tutorials education cpp cross-platform point-cloud pcl lidar 3d-reconstruction ros pcd self-driving tutorial-code linux

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