Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781838646301
Length 332 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (3):
Arrow left icon
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
Arrow right icon
View More author details
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

Software programming

Another challenge is programming for safety and practicality, which are often at odds with each other. If we program a vehicle purely for safety, its safest option is not to drive. Driving is an inherently dangerous operation, and programming for the multiple scenarios that arise while driving is an insanely difficult task. It is easy to say follow the rules of the road, but the problem is, humans don't follow the rules of the road perfectly. Therefore, programmers need to enable SDCs to react to this. Sometimes, the computer will need to make difficult decisions and may need to make a decision that involves endangering the life of its occupants or people outside the vehicle. This is a dangerous task, but if we continue improving on the technology, we could start to see reduced road deaths, all while making taxi services drastically cheaper and freeing many people from the financial burden of purchasing a vehicle.

Tesla is in a fantastic position to gradually update their software as they master each scenario. They don't need to create the perfect SDC out of the gate, and with this latest computer, they are going to be able to continue their technological growth.

You have been reading a chapter from
Applied Deep Learning and Computer Vision for Self-Driving Cars
Published in: Aug 2020
Publisher: Packt
ISBN-13: 9781838646301
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image