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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

Analog versus digital

The first thing to remember is that we live in an analog world. Nothing is instantaneous and everything is continuous. This is the reason why we can't teleport, sadly!

Similarly, analog signals are continuous and everchanging; they don't jump instantaneously but instead smoothly transition from one state to another. A prime example of an analog signal is the old Amplitude Modulation (AM) radio. You can see in the following figure how the smooth data signal is modulated onto a smooth carrier wave to create the smooth AM signal. Here, the pitch is represented by how quickly the amplitude is changing and the volume is represented by how great the amplitude is:

Figure 2.1 – Analog signal example

Figure 2.1 – Analog signal example

In contrast, a digital signal is one that is sampled at known points in time. When the signal is sampled, it is checked to see whether it is above or below a certain threshold, which will determine whether it is a logic 0 or...

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