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ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
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Author (1):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with ROS Robotics Application Development 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos FREE CHAPTER 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Interfacing a DBW car with ROS

In this section, we will see how to interface a real car with ROS and make it autonomous. As we discussed earlier, the DBW interface enables us to control a vehicle's throttle, brake, and steering using the CAN protocol.

There's an existing open source project that is doing this job. The project is owned by a company called Dataspeed Inc. (http://dataspeedinc.com/). Here is the list of projects related to self-driving cars from Dataspeed:

https://bitbucket.org/DataspeedInc/

We are going to discuss Dataspeed's ADAS vehicle development project.

First, we will see how to install the ROS packages of this project and look at the functionality of each package and node.

Installing packages

Here are the complete instructions to install these packages. We only need a single command to install all these packages.

We can install this on ROS Indigo and ROS Kinetic using the following command:

bash <(wget -q -O - https://bitbucket.org/DataspeedInc/dbw_mkz_ros...
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