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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

Integrating the neural network with Carla

We will now integrate our neural network with Carla, to achieve self-driving.

As before, we start by making a copy of manual_control.py, which we could call manual_control_drive.py. For simplicity, I will only write the code that you need to change or add, but you can find the full source code on GitHub.

Please remember that this file should run in the PythonAPI/examples directory.

In principle, letting our neural network take control of the steering wheel is quite simple, as we just need to analyze the current frame and set the steering. However, we also need to apply some throttle, or the car will not move!

It's also very important that you run the inference phase in the game loop, or that you are really sure that it is running on the client, else the performance will drop substantially and your network will have a hard time driving due to the excess of latency between receiving the frame and sending the instruction to drive...

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