CHAPTER 8

Point Cloud Processing

CONTENTS

8.1 Simple point-cloud display node

8.2 Loading and displaying point-cloud images from disk

8.3 Saving published point-cloud images to disk

8.4 Interpreting point-cloud images with PCL methods

8.5 Object finder

8.6 Wrap-Up

INTRODUCTION

Interpreting 3-D sensory data is enabled with the use of the Point Cloud Library Point Cloud Library Point Cloud Processing (see http://pointclouds.org/). This open-source effort is independent of but compatible with ROS. The Point Cloud Library (PCL) offers an array of functions for interpreting 3-D data. The present treatment is not intended to be a comprehensive tutorial of PCL. Rather, a few simple capabilities are introduced that provide useful functionality. Greater ...

Get A Systematic Approach to Learning Robot Programming with ROS now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.