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Mastering ROS for Robotics Programming

You're reading from  Mastering ROS for Robotics Programming

Product type Book
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551798
Pages 480 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Lentin Joseph Lentin Joseph
Profile icon Lentin Joseph

Table of Contents (19) Chapters

Mastering ROS for Robotics Programming
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Introduction to ROS and Its Package Management Working with 3D Robot Modeling in ROS Simulating Robots Using ROS and Gazebo Using the ROS MoveIt! and Navigation Stack Working with Pluginlib, Nodelets, and Gazebo Plugins Writing ROS Controllers and Visualization Plugins Interfacing I/O Boards, Sensors, and Actuators to ROS Programming Vision Sensors using ROS, Open-CV, and PCL Building and Interfacing Differential Drive Mobile Robot Hardware in ROS Exploring the Advanced Capabilities of ROS-MoveIt! ROS for Industrial Robots Troubleshooting and Best Practices in ROS Index

Understanding ROS – OpenCV interfacing packages


OpenCV is one of the popular open source real time computer vision libraries, which is mainly written in C/C++. OpenCV comes with a BSD license and is free for academic and commercial application. OpenCV can be programmed using C/C++, Python, and Java, and it has multi-platform support such as Windows, Linux, OSX, Android, and iOS. OpenCV has tons of computer vision APIs, which can be used for implementing computer vision applications. The web page of OpenCV library is http://opencv.org/.

The OpenCV library is interfaced to ROS via ROS stack called vision_opencv. vision_opencv consists of two important packages for interfacing OpenCV to ROS. They are:

  • cv_bridge: The cv_bridge package contains a library that provides APIs for converting the OpenCV image data type cv::Mat to the ROS image message called sensor_msgs/Image and vice versa. In short, it can act as a bridge between OpenCV and ROS. We can use OpenCV APIs to process the image and convert...

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