Self-Driving Cars and AI: How Autonomous Vehicles are Changing Transportation A Guide to AI in Mobility, Machine Learning, and Automotive Innovation (Paperback) (ISBN-13: 9798310262270)

Self-Driving Cars and AI: How Autonomous Vehicles are Changing Transportation is the definitive guide to understanding the transformative role artificial intelligence (AI) and machine learning (ML) play in the development of self-driving cars. This book explores how AI is reshaping the future of transportation, from the early stages of autonomous vehicle development to the current breakthroughs in mobility, and offers an in-depth look at the technologies and innovations driving automotive advancements.

Whether you're an engineer, automotive enthusiast, or tech professional, this book will guide you through the key concepts of self-driving cars, AI, and machine learning, giving you the tools and knowledge to understand how these technologies are shaping the future of transportation.

Inside, you'll discover:

• Introduction to Self-Driving Cars: Understand the evolution of autonomous vehicles (AVs), their potential to revolutionize the transportation industry, and how AI is central to enabling full autonomy.
• AI and Machine Learning in Autonomous Vehicles: Learn how AI algorithms, computer vision, sensor fusion, and machine learning models enable self-driving cars to perceive their environment, make decisions, and navigate safely.
• Key Components of Autonomous Vehicles: Dive into the technology stack behind AVs, including LIDAR, radar, cameras, GPS, and ultrasonic sensors, and how these components work together to enable autonomous driving.
• Autonomous Driving Levels: Explore the SAE (Society of Automotive Engineers) levels of autonomy, from Level 0 (no automation) to Level 5 (full automation), and understand the challenges of achieving higher levels of autonomous driving.
• Sensor Fusion and Perception: Discover how self-driving cars use sensor fusion to combine data from various sensors to create a comprehensive model of their surroundings, enabling better decision-making.
• AI in Navigation and Path Planning: Learn how AI-powered algorithms are used to plan routes, make driving decisions, and optimize the vehicle's path in real-time, ensuring safety and efficiency.
• Machine Learning for Continuous Improvement: Understand how AVs improve over time by learning from vast amounts of data generated from testing, driving, and simulations to enhance performance and reduce errors.
• Safety, Ethics, and Regulation: Explore the ethical considerations and safety concerns around autonomous vehicles, such as decision-making in critical situations, liability, and the regulatory landscape governing self-driving cars.
• The Future of Transportation: Gain insight into how autonomous vehicles are expected to impact industries like transportation, logistics, and urban planning, and how they could transform mobility, reduce traffic congestion, and improve safety on the roads.
• The Road Ahead: Learn about the latest trends, challenges, and future developments in autonomous driving, including 5G connectivity, V2X (vehicle-to-everything) communication, and the ongoing push for full self-driving capabilities.

By the end of this book, you'll have a thorough understanding of how AI and machine learning are revolutionizing the automotive industry, and the future of transportation driven by self-driving cars.