# HuangCongQing/pcl-learning

🔥PCL（Point Cloud Library）点云库学习记录

Repository: https://github.com/HuangCongQing/pcl-learning
Canonical: https://ross.abutalabs.com/products/pcl-learning
Homepage: https://www.bilibili.com/video/BV1HS4y1y7AB
Language: C++
License: MIT
License Family: permissive
Topics: pcl, ros, pcl-library, pcl-viewer, 3d-reconstruction, 3d-segmentation, 3d-representation, 3d-detection, self-driving-car
Last push: 2025-04-21T16:55:48+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 17, release rhythm 8, longevity 100
- inputs: {"age_days": 2696, "days_push": 499, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1935, forks 447 (observed 2026-08-28T04:05:57.006373+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: computer-vision, image-processing, graphics, developer-tools
- domain: computer-vision, robotics, autonomous-vehicles, tutorials, education
- platform: cpp, cross-platform
- tags: point-cloud, pcl, lidar, 3d-reconstruction, ros, pcd, self-driving, tutorial-code, linux

## Member repositories
- HuangCongQing/pcl-learning (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:57.006373+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:08:26.723622+00:00, confidence not recorded.
  - readme: https://github.com/HuangCongQing/pcl-learning (fetched 2026-08-28T04:05:57.006373+00:00, sha 7d422f8b3619)
  - homepage: https://www.bilibili.com/video/BV1HS4y1y7AB (fetched 2026-08-29T10:47:42.111747+00:00, sha fa37c7c33a23)
- Data as of 2026-08-30T08:39:29.467469+00:00.