Book Image

Effective Robotics Programming with ROS - Third Edition

By : Anil Mahtani, Luis Sánchez, Aaron Martinez, Enrique Fernandez Perdomo
Book Image

Effective Robotics Programming with ROS - Third Edition

By: Anil Mahtani, Luis Sánchez, Aaron Martinez, Enrique Fernandez Perdomo

Overview of this book

Building and programming a robot can be cumbersome and time-consuming, but not when you have the right collection of tools, libraries, and more importantly expert collaboration. ROS enables collaborative software development and offers an unmatched simulated environment that simplifies the entire robot building process. This book is packed with hands-on examples that will help you program your robot and give you complete solutions using open source ROS libraries and tools. It also shows you how to use virtual machines and Docker containers to simplify the installation of Ubuntu and the ROS framework, so you can start working in an isolated and control environment without changing your regular computer setup. It starts with the installation and basic concepts, then continues with more complex modules available in ROS such as sensors and actuators integration (drivers), navigation and mapping (so you can create an autonomous mobile robot), manipulation, Computer Vision, perception in 3D with PCL, and more. By the end of the book, you’ll be able to leverage all the ROS Kinetic features to build a fully fledged robot for all your needs.
Table of Contents (18 chapters)
Effective Robotics Programming with ROS Third Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

ROS images


ROS provide the sensor_msgs::Image message to send images between nodes. However, we usually need a data type or object to manipulate the images in order to do some useful work. The most common library for that is OpenCV, so ROS offers a bridge class to transform ROS images back and forth from OpenCV.

If we have an OpenCV image, that is, cv::Mat image, we need the cv_bridge library to convert it into a ROS image message and publish it. We have the option to share or copy the image with CvShare or CvCopy, respectively. However, if possible, it is easier to use the OpenCV image field inside the CvImage class provided bycv_bridge. That is exactly what we do in the camera driver as a pointer:

cv_bridge::CvImagePtr frame;

Being a pointer, we initialize it in the following way:

frame = boost::make_shared<cv_bridge::CvImage>();

If we know the image encoding beforehand, we can use the following code:

frame->encoding = sensor_msgs::image_encodings::BGR8;

Later, we set the OpenCV image...