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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

Implementing PID in CARLA

Congratulations on making it to the truly fun and hands-on portion of this chapter. You have learned a lot so far about PIDs and MPCs. Now it is time to put that knowledge to use!

In this section, we will walk through all the relevant code that is available on GitHub for this chapter:

https://github.com/PacktPublishing/Hands-On-Vision-and-Behavior-for-Self-Driving-Cars

You will learn how to apply the equations and concepts of PID in Python and then interface with CARLA.

First, you will need to install CARLA.

Installing CARLA

The CARLA project has a Linux and Windows Quick Start guide available at https://carla.readthedocs.io/en/latest/start_quickstart/.

For Linux, the CARLA files will be located here:

/opt/carla-simulator/

Inside this folder you will find a /bin/ folder that contains the executable simulator script, which you can run with the following command:

$  /opt/carla-simulator/bin/CarlaUE4.sh -opengl

The ...

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