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Hands-On Vision and Behavior for Self-Driving Cars

You're reading from   Hands-On Vision and Behavior for Self-Driving Cars Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781800203587
Length 374 pages
Edition 1st Edition
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Authors (2):
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Krishtof Korda Krishtof Korda
Author Profile Icon Krishtof Korda
Krishtof Korda
Luca Venturi Luca Venturi
Author Profile Icon Luca Venturi
Luca Venturi
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Table of Contents (17) Chapters Close

Preface 1. Section 1: OpenCV and Sensors and Signals
2. Chapter 1: OpenCV Basics and Camera Calibration FREE CHAPTER 3. Chapter 2: Understanding and Working with Signals 4. Chapter 3: Lane Detection 5. Section 2: Improving How the Self-Driving Car Works with Deep Learning and Neural Networks
6. Chapter 4: Deep Learning with Neural Networks 7. Chapter 5: Deep Learning Workflow 8. Chapter 6: Improving Your Neural Network 9. Chapter 7: Detecting Pedestrians and Traffic Lights 10. Chapter 8: Behavioral Cloning 11. Chapter 9: Semantic Segmentation 12. Section 3: Mapping and Controls
13. Chapter 10: Steering, Throttle, and Brake Control 14. Chapter 11: Mapping Our Environments 15. Assessments 16. Other Books You May Enjoy

Chapter 11: Mapping Our Environments

There are a few fundamental things that your self-driving car needs to navigate the world.

First of all, you need to have a map of your environment. This map is very similar to the map you use on your phone for getting to your favorite restaurant.

Secondly, you need a way to localize your position on that map in the real world. On your phone, this is the blue dot localized by the GPS.

In this chapter, you will learn about various ways for your self-driving car to map and localize through its environment, so it knows where it is in the world. You can imagine why this is important since the entire reason for making a self-driving car is to go places!

You will learn the following topics to help you build a self-driving car worthy of being called Magellan:

  • Why you need maps and localization
  • Types of mapping and localization
  • Open source mapping tools
  • SLAM with an Ouster lidar and Google Cartographer
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