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Applied Deep Learning and Computer Vision for Self-Driving Cars
Applied Deep Learning and Computer Vision for Self-Driving Cars

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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Profile Icon Sumit Ranjan Profile Icon Dr. S. Senthamilarasu
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₱1799.99 ₱2000.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (9 Ratings)
eBook Aug 2020 332 pages 1st Edition
eBook
₱1799.99 ₱2000.99
Paperback
₱2500.99
Subscription
Free Trial
Arrow left icon
Profile Icon Sumit Ranjan Profile Icon Dr. S. Senthamilarasu
Arrow right icon
₱1799.99 ₱2000.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (9 Ratings)
eBook Aug 2020 332 pages 1st Edition
eBook
₱1799.99 ₱2000.99
Paperback
₱2500.99
Subscription
Free Trial
eBook
₱1799.99 ₱2000.99
Paperback
₱2500.99
Subscription
Free Trial

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Applied Deep Learning and Computer Vision for Self-Driving Cars

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Key benefits

  • Build and train powerful neural network models to build an autonomous car
  • Implement computer vision, deep learning, and AI techniques to create automotive algorithms
  • Overcome the challenges faced while automating different aspects of driving using modern Python libraries and architectures

Description

Thanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving. By the end of this book, you'll have learned how to implement a variety of neural networks to develop your own autonomous vehicle using modern Python libraries.

Who is this book for?

If you are a deep learning engineer, AI researcher, or anyone looking to implement deep learning and computer vision techniques to build self-driving blueprint solutions, this book is for you. Anyone who wants to learn how various automotive-related algorithms are built, will also find this book useful. Python programming experience, along with a basic understanding of deep learning, is necessary to get the most of this book.

What you will learn

  • Implement deep neural network from scratch using the Keras library
  • Understand the importance of deep learning in self-driving cars
  • Get to grips with feature extraction techniques in image processing using the OpenCV library
  • Design a software pipeline that detects lane lines in videos
  • Implement a convolutional neural network (CNN) image classifier for traffic signal signs
  • Train and test neural networks for behavioral-cloning by driving a car in a virtual simulator
  • Discover various state-of-the-art semantic segmentation and object detection architectures

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 14, 2020
Length: 332 pages
Edition : 1st
Language : English
ISBN-13 : 9781838647025
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Product Details

Publication date : Aug 14, 2020
Length: 332 pages
Edition : 1st
Language : English
ISBN-13 : 9781838647025
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Frequently bought together


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Total 8,675.97
Modern Computer Vision with PyTorch
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Hands-On Vision and Behavior for Self-Driving Cars
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Applied Deep Learning and Computer Vision for Self-Driving Cars
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Total 8,675.97 Stars icon

Table of Contents

17 Chapters
Section 1: Deep Learning Foundation and SDC Basics Chevron down icon Chevron up icon
The Foundation of Self-Driving Cars Chevron down icon Chevron up icon
Dive Deep into Deep Neural Networks Chevron down icon Chevron up icon
Implementing a Deep Learning Model Using Keras Chevron down icon Chevron up icon
Section 2: Deep Learning and Computer Vision Techniques for SDC Chevron down icon Chevron up icon
Computer Vision for Self-Driving Cars Chevron down icon Chevron up icon
Finding Road Markings Using OpenCV Chevron down icon Chevron up icon
Improving the Image Classifier with CNN Chevron down icon Chevron up icon
Road Sign Detection Using Deep Learning Chevron down icon Chevron up icon
Section 3: Semantic Segmentation for Self-Driving Cars Chevron down icon Chevron up icon
The Principles and Foundations of Semantic Segmentation Chevron down icon Chevron up icon
Implementing Semantic Segmentation Chevron down icon Chevron up icon
Section 4: Advanced Implementations Chevron down icon Chevron up icon
Behavioral Cloning Using Deep Learning Chevron down icon Chevron up icon
Vehicle Detection Using OpenCV and Deep Learning Chevron down icon Chevron up icon
Next Steps Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(9 Ratings)
5 star 55.6%
4 star 33.3%
3 star 0%
2 star 11.1%
1 star 0%
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A T M Azharul Islam Jul 17, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am happy with that
Amazon Verified review Amazon
Imran Sarker Oct 25, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Being an avid learner of self-driving cars, I read many research papers to learn the basic concept of Autonomous cars. Those papers are a mostly advanced concept that made me realize to look into a book that can break down the advanced concept. Finally, I found this book. The authors explained every section very well. The good thing about the book is it has practical implementation with many self-driving car projects. Besides, Learners can grab the idea of different neural networks.Summary: I highly recommend this book for the readers who wants to learn Self Driving Cars from basic to advanced level.
Amazon Verified review Amazon
Sudheer Jan 29, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
It is a very well written book that introduces beginners like myself to the various technologies used in autonomous vehicles. I got an understanding of the make up of what goes into designing a self driving car & how standards are still evolving due to complexities, differences in hardware, and computational aspects. I particularly enjoyed reading Section 2 about "Computer Vision Techniques" and Section 3 about "Behavioral Cloning".#deeplearning #ai #machinelearning #artificialintelligence #computervision #selfdrivingcars #autonomousvehicles #autonomous
Amazon Verified review Amazon
Jérémie Ohana Nov 12, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Très intéressant
Amazon Verified review Amazon
Sam Oct 29, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book keeps you engrossed with charts, graphs and pictures, not to mention, plenty of code to get stated with. Without delving too much into the mathematical details, this book manages to give you the fundamental principal and the breath of technical know-how required to embark into the field of self-driving-car.Pros: 1. Very well structured. 2. Plenty of code, charts, graphs to keep the reader interested. 3. General introduction without getting into the nitty gritty helps the reader to get the overall picture without being lost into the specifics.Cons: 1. I would agree with other reviewers about their critic of the book not having a end-to-end project connecting the sections.While this is an introductory book, a section dedicated to discussing some of the latest research with deep learning in self-driving-cars could have ushered a more intrigued reader. Kudos to the authors for taking the time to write the book.
Amazon Verified review Amazon
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