Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learn Robotics Programming

You're reading from   Learn Robotics Programming Build and control AI-enabled autonomous robots using the Raspberry Pi and Python

Arrow left icon
Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781839218804
Length 602 pages
Edition 2nd Edition
Languages
Concepts
Arrow right icon
Author (1):
Arrow left icon
Danny Staple Danny Staple
Author Profile Icon Danny Staple
Danny Staple
Arrow right icon
View More author details
Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: The Basics – Preparing for Robotics
2. Chapter 1: Introduction to Robotics FREE CHAPTER 3. Chapter 2: Exploring Robot Building Blocks – Code and Electronics 4. Chapter 3: Exploring the Raspberry Pi 5. Chapter 4: Preparing a Headless Raspberry Pi for a Robot 6. Chapter 5: Backing Up the Code with Git and SD Card Copies 7. Section 2: Building an Autonomous Robot – Connecting Sensors and Motors to a Raspberry Pi
8. Chapter 6: Building Robot Basics – Wheels, Power, and Wiring 9. Chapter 7: Drive and Turn – Moving Motors with Python 10. Chapter 8: Programming Distance Sensors with Python 11. Chapter 9: Programming RGB Strips in Python 12. Chapter 10: Using Python to Control Servo Motors 13. Chapter 11: Programming Encoders with Python 14. Chapter 12: IMU Programming with Python 15. Section 3: Hearing and Seeing – Giving a Robot Intelligent Sensors
16. Chapter 13: Robot Vision – Using a Pi Camera and OpenCV 17. Chapter 14: Line-Following with a Camera in Python 18. Chapter 15: Voice Communication with a Robot Using Mycroft 19. Chapter 16: Diving Deeper with the IMU 20. Chapter 17: Controlling the Robot with a Phone and Python 21. Section 4: Taking Robotics Further
22. Chapter 18: Taking Your Robot Programming Skills Further 23. Chapter 19: Planning Your Next Robot Project – Putting It All Together 24. Other Books You May Enjoy

Line-following computer vision pipeline

As we did with the previous computer vision tasks, we will visualize this as a pipeline. Before we do, there are many methods for tracking a line with computer vision.

Camera line-tracking algorithms

It is in our interests to pick one of the simplest ones, but as always, there is a trade-off, in that others will cope with more tricky situations or anticipate curves better than ours.

Here is a small selection of methods we could use:

  • Using edge detection: An edge detection algorithm, such as the Canny edge detector, can be run across the image, turning any transitions it finds into edges. OpenCV has a built-in edge detection system if we wanted to use this. The system can detect dark-to-light and light-to-dark edges. It is more tolerant of less sharp edges.
  • Finding differences along lines: This is like cheeky edge detection, but only on a particular row. By finding the difference between each pixel along a row in the image...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime