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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

Summary

Wow, you have come a long way in this chapter and book. You began with nothing but a mobile phone and a blue GPS dot. You traveled across the globe to Russia and found the life-juice at the Monkey Face. You grabbed some snacks by SLAMing your way through your Cimmerian dark home. You learned the difference between maps and localization, and the various types of each. You picked up some open source tools and lashed them to your adventure belt for future use.

You also learned how to apply the open source Cartographer on Ouster OS1-128 lidar sensor data, coupled with the built-in IMU to generate dense and tangible maps of some really nice townhomes that you manipulated using CloudCompare. Now you know how to create maps and can go out and map your own spaces and localize within them! The world is your Ouster (pardon me, oyster)! We can't wait to see what you build next with your creativity and knowhow!

We really hope that you enjoyed learning with us; we certainly enjoyed...

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