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ROS Robotics Projects,

You're reading from   ROS Robotics Projects, Build and control robots powered by the Robot Operating System, machine learning, and virtual reality

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781838649326
Length 456 pages
Edition 2nd Edition
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Author (1):
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Ramkumar Gandhinathan Ramkumar Gandhinathan
Author Profile Icon Ramkumar Gandhinathan
Ramkumar Gandhinathan
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with ROS FREE CHAPTER 2. Introduction to ROS-2 and Its Capabilities 3. Building an Industrial Mobile Manipulator 4. Handling Complex Robot Tasks Using State Machines 5. Building an Industrial Application 6. Multi-Robot Collaboration 7. ROS on Embedded Platforms and Their Control 8. Reinforcement Learning and Robotics 9. Deep Learning Using ROS and TensorFlow 10. Creating a Self-Driving Car Using ROS 11. Teleoperating Robots Using a VR Headset and Leap Motion 12. Face Detection and Tracking Using ROS, OpenCV, and Dynamixel Servos 13. Other Books You May Enjoy

Simulating and interfacing self-driving car sensors in ROS

In the preceding section, we discussed the basic concepts of a self-driving car. That understanding will definitely help in this section too. In this section, we will simulate and interface some of the sensors that we are used in self-driving cars.

Here is the list of sensors that we are going to simulate and interface with ROS:

  • Velodyne LIDAR
  • Laser scanner
  • Camera
  • Stereo camera
  • GPS
  • IMU
  • Ultrasonic sensor

We'll discuss how to set up the simulation using ROS and Gazebo and read the sensor values. This sensor interfacing will be useful when you build your own self-driving car simulation from scratch. So, if you know how to simulate and interface these sensors, it can definitely accelerate your self-driving car development. Let's start by simulating the Velodyne LIDAR.

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