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Applied Deep Learning and Computer Vision for Self-Driving Cars

You're reading from   Applied Deep Learning and Computer Vision for Self-Driving Cars Build autonomous vehicles using deep neural networks and behavior-cloning techniques

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781838646301
Length 332 pages
Edition 1st Edition
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Authors (3):
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Dr. S. Senthamilarasu Dr. S. Senthamilarasu
Author Profile Icon Dr. S. Senthamilarasu
Dr. S. Senthamilarasu
Balu Nair Balu Nair
Author Profile Icon Balu Nair
Balu Nair
Sumit Ranjan Sumit Ranjan
Author Profile Icon Sumit Ranjan
Sumit Ranjan
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Deep Learning Foundation and SDC Basics
2. The Foundation of Self-Driving Cars FREE CHAPTER 3. Dive Deep into Deep Neural Networks 4. Implementing a Deep Learning Model Using Keras 5. Section 2: Deep Learning and Computer Vision Techniques for SDC
6. Computer Vision for Self-Driving Cars 7. Finding Road Markings Using OpenCV 8. Improving the Image Classifier with CNN 9. Road Sign Detection Using Deep Learning 10. Section 3: Semantic Segmentation for Self-Driving Cars
11. The Principles and Foundations of Semantic Segmentation 12. Implementing Semantic Segmentation 13. Section 4: Advanced Implementations
14. Behavioral Cloning Using Deep Learning 15. Vehicle Detection Using OpenCV and Deep Learning 16. Next Steps 17. Other Books You May Enjoy

Artificial eyes versus human eyes 

In this section, we will compare the requirements of artificial eyes with human eyes. In the following table, we can see the differences between the requirements of artificial eyes for self-driving cars and the capabilities of human eyes:

Self-Driving Car Requirement Human Eye
It requires 360-degree coverage around the vehicle. It has 3D vision for 130 degrees of the field of view, resulting in a blind spot. Humans can turn their heads and bodies to mitigate this.
It must identify 3D objects that are close to and far from the vehicle. The human eye's high resolution extends only to the central 50 degrees in the field of view. Outside the central zone, perception drops.
It must process real-time data. In the human eye, the frame is good in the central zone and poor in the peripheries. 
It should be able to work well in all lighting and weather conditions. Human eyes perform well in various lighting conditions,...
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