Deep Learning for Self-Driving Cars: A Gentle, Hands-On Introduction

Bys: K, Prakash and CV, Aravinda

The rapid advancement of artificial intelligence and deep learning has transformed the dream of self-driving cars from science fiction into an emerging reality. Yet, for many learners and enthusiasts, the world of autonomous vehicles can feel complex and intimidating-filled with jargon, mathematics, and advanced engineering concepts. Deep Learning for Self-Driving Cars: A Gentle, Hands-On Introduction was written to bridge that gap. This book aims to provide an approachable and intuitive journey through the essential ideas behind perception, planning, and control in autonomous driving, using simple explanations and conceptual, visual examples rather than dense technical formulas.

Throughout the chapters, readers will explore how modern vehicles use sensors like cameras, LiDAR, and radar to perceive their surroundings, how deep learning enables object recognition and lane detection, and how planning and control systems translate that perception into smooth, safe driving behavior. By the end, you'll not only understand the core ideas behind the self-driving pipeline but also have the foundation to experiment with your own simplified, end-to-end prototype. Whether you are a student, hobbyist, or professional entering the world of intelligent mobility, this book will help you take your first confident steps into the future of autonomous transportation.

• Format: Paperback
• Language: English
• ISBN: B0G1XSQVYT
• ISBN13: 9798274078351
• Release Date: November 2025
• Publisher: Independently Published
• Length: 334 Pages
• Weight: 0.99 lbs.
• Dimensions: 0.7" x 6.0" x 9.0"