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Learning ROS for Robotics Programming Second Edition

You're reading from   Learning ROS for Robotics Programming Second Edition Take control of the Linux based Robot Operating System, and discover the tools, libraries, and conventions you need to create your own robots without the hassle.

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Product type Paperback
Published in Aug 2015
Publisher Packt
ISBN-13 9781783987580
Length 458 pages
Edition 1st Edition
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Concepts
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with ROS Hydro FREE CHAPTER 2. ROS Architecture and Concepts 3. Visualization and Debug Tools 4. Using Sensors and Actuators with ROS 5. Computer Vision 6. Point Clouds 7. 3D Modeling and Simulation 8. The Navigation Stack – Robot Setups 9. The Navigation Stack – Beyond Setups 10. Manipulation with MoveIt! Index

Using visual odometry with viso2


In order to use viso2, go to your catkin workspace (~/dev/catkin_ws) and use the following commands:

$ cd src
$ wstool init
$ wstool set viso2 --git git://github.com/srv/viso2.git
$ wstool update

Now, to build it, run the following command:

$ cd ..
$ catkin_make

Once it is built, we set up our environment by using the following command:

$ source devel/setup.bash

Now we can run viso2_ros nodes, such as stereo_odometer, which is the one we are going to use here. But before that, we need to publish the frame transformation between our camera and the robot or its base link. The stereo camera driver is already prepared for that, but we have explained how it is done in the next sections.

Camera pose calibration

In order to set the transformation between the different frames in our robot system, we must publish the TF message of such transforms. The most appropriate and generic way to do so consists of using the camera_pose stack; we use the latest version from this...

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