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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

Image format

The image format is structured as follows:

  • The images contain one traffic sign each.
  • Images contain a border of 10 % around the actual traffic sign (at least 5 pixels) to allow for edge-based approaches.
  • Images are stored in PPM format Portable, Pixmap, and P6 (http://en.wikipedia.org/wiki/Netpbm_format).
  • Image sizes vary between 15 x 15 and 250 x 250 pixels.
  • Images are not necessarily squared.
  • The actual traffic sign is not necessarily centered within the image. This is true for images that were close to the image border in the full camera image.
  • The bounding box of the traffic sign is a part of the annotations, which we will see in the following section.

The following are examples of a few classes:

  • ( 0, b'Speed limit (20 km/h)') ( 1, b'Speed limit (30 km/h)')
  • ( 2, b'Speed limit (50 km/h)') ( 3, b'Speed limit (60 km/h)')
  • ( 4, b'Speed limit (70 km/h)') ( 5, b'Speed limit (80 km/h)')
  • ( 6, b'End of...
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