Book Image

ROS Robotics Projects

Book Image

ROS Robotics Projects

Overview of this book

Robot Operating System is one of the most widely used software frameworks for robotic research and for companies to model, simulate, and prototype robots. Applying your knowledge of ROS to actual robotics is much more difficult than people realize, but this title will give you what you need to create your own robotics in no time! This book is packed with over 14 ROS robotics projects that can be prototyped without requiring a lot of hardware. The book starts with an introduction of ROS and its installation procedure. After discussing the basics, you’ll be taken 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 ROS robotics applications for beginner, intermediate, and expert levels inside! This book will be the perfect companion for a robotics enthusiast who really wants to do something big in the field.
Table of Contents (20 chapters)
ROS Robotics Projects
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Simulating stereo and mono cameras in Gazebo


In the previous section, we discussed laser scanner simulation. In this section, we will see how to simulate a camera. A camera is an important sensor for all kinds of robots. We will see how to launch both mono and stereo camera simulations. You can use the following commands to launch the simulations.

Mono camera:

$ roslaunch sensor_sim_gazebo camera.launch

Stereo camera:

$ roslaunch sensor_sim_gazebo stereo_camera.launch

You can view the image from the camera either using Rviz or using a tool called image_view.

You can look at the mono camera view using the following command:

$ rosrun image_view image_view image:=/sensor/camera1/image_raw

Figure 18: Image from simulated camera

To view images from a simulated stereo camera, use the following commands:

$ rosrun image_view image_view image:=/stereo/camera/right/image_raw
$ rosrun image_view image_view image:=/stereo/camera/left/image_raw

This commands will display two image windows from each camera...