Sumit Ranjan , Dr. S. Senthamilarasu
Digital
AvailableLanguage | English |
---|---|
ISBN-13 | 9781838647025 |
No of pages | 332 |
Book Publisher | Packt Publishing |
Published Date | 14 Aug 2020 |
Sumit Ranjan was a silver medalist for his Bachelor of Technology (Electronics and
Telecommunication) degree. He is a passionate data scientist who has worked on solving
business problems to build an unparalleled customer experience across domains such as,
automobile, healthcare, semi-conductor, cloud virtualization, and insurance. He is experienced in building applied machine learning, computer vision, and deep learning solutions to meet real-world needs. He was awarded Autonomous Self-Driving Car Scholar by KPIT Technologies. He has also worked on multiple research projects at Mercedes Benz Research and Development. Apart from work, his hobbies are traveling and exploring new places, wildlife photography, and blogging.
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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.