Book Image

ROS Programming: Building Powerful Robots

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

ROS Programming: Building Powerful Robots

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

Overview of this book

This learning path is designed to help you program and build your robots using open source ROS libraries and tools. We start with the installation and basic concepts, then continue with the more complex modules available in ROS, such as sensor and actuator integration (drivers), navigation and mapping (so you can create an autonomous mobile robot), manipulation, computer vision, perception in 3D with PCL, and more. We then discuss advanced concepts in robotics and how to program using ROS. You'll get a deep overview of the ROS framework, which will give you a clear idea of how ROS really works. During the course of the book, you will learn how to build models of complex robots, and simulate and interface the robot using the ROS MoveIt motion planning library and ROS navigation stacks. We'll go through great projects such as building a self-driving car, an autonomous mobile robot, and image recognition using deep learning and ROS. You can find beginner, intermediate, and expert ROS robotics applications inside! It includes content from the following Packt products: ? Effective Robotics Programming with ROS - Third Edition ? Mastering ROS for Robotics Programming ? ROS Robotics Projects
Table of Contents (37 chapters)
Title page
Copyright and Credits
Packt Upsell
Preface
Bibliography
Index

Chapter 8. Computer Vision

ROS provides basic support for Computer Vision. First, drivers are available for different cameras and protocols, especially for FireWire (IEEE1394a or IEEE1394b) cameras. An image pipeline helps with the camera calibration process, distortion rectification, color decoding, and other low-level operations. For more complex tasks, you can use OpenCV and the cv_bridge and image_transport libraries to interface with it and subscribe and publish images on topics. Finally, there are several packages that implement algorithms for object recognition, augmented reality, visual odometry, and so on.

Although FireWire cameras are best integrated in ROS, it is not difficult to support other protocols, such as USB and Gigabit Ethernet. Since USB cameras are usually less expensive and easier to find, in this chapter we discuss several available options, and we will also provide a driver that integrates seamlessly in the image pipeline, using the OpenCV video capture API.

The camera...