Skip to content

A fairly in-depth tutorial for the Point Cloud Library (with ROS integration notes!)

License

Notifications You must be signed in to change notification settings

methylDragon/pcl-ros-tutorial

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

pcl-ros-tutorial


CylinderSegmentation.gif

1561461023329

1561451395155

Image Source

The Point Cloud Library (or PCL) is a large scale, open project [1] for 2D/3D image and point cloud processing. The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation. These algorithms can be used, for example, to filter outliers from noisy data, stitch 3D point clouds together, segment relevant parts of a scene, extract keypoints and compute descriptors to recognize objects in the world based on their geometric appearance, and create surfaces from point clouds and visualize them -- to name a few.

PCL is released under the terms of the 3-clause BSD license and is open source software. It is free for commercial and research use.

PCL is cross-platform, and has been successfully compiled and deployed on Linux, MacOS, Windows, and Android/iOS. To simplify development, PCL is split into a series of smaller code libraries, that can be compiled separately. This modularity is important for distributing PCL on platforms with reduced computational or size constraints (for more information about each module see the documentation page).

http://pointclouds.org/about/

Introduction

A fairly in-depth tutorial for the Point Cloud Library (with ROS integration notes!)

There's a lot of jumbled up tutorials everywhere for PCL and ROS (some of which are a bit outdated because PCL split from ROS to become its own independent library.) So here's an attempt to put together a fairly comprehensive tutorial for ROS and PCL for a beginner!

This should be enough to get started and have a fair grounding in PCL before jumping into the full component based tutorials offered by the PCL foundation!

Pre-Requisite Knowledge:

  • Make sure you're caught up on ROS and C++
  • And, if you need ROS, you definitely need Linux
                            .     .
                         .  |\-^-/|  .    
                        /| } O.=.O { |\


Yeah! Buy the DRAGON a COFFEE!

About

A fairly in-depth tutorial for the Point Cloud Library (with ROS integration notes!)

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published