Practical AI for Autonomous Vehicles: Foundations, Techniques, and Applications

Artificial Intelligence (AI) is redefining the landscape of modern transportation, enabling vehicles to perceive, reason, and act with increasing autonomy. Practical AI for Autonomous Vehicles - Foundations, Techniques, and Applications is designed to bridge the gap between theoretical understanding and real-world implementation of AI-driven mobility systems. This book provides readers with a comprehensive exploration of the foundational concepts underpinning autonomous driving, including machine learning, computer vision, sensor fusion, decision-making, and control systems. Each chapter integrates the essential principles of AI with hands-on approaches, offering a balanced perspective that caters to both researchers seeking depth and practitioners pursuing practical insights.As the automotive industry accelerates toward fully autonomous mobility, interdisciplinary knowledge becomes indispensable. This handbook aims to equip students, engineers, and innovators with the tools to design, develop, and deploy intelligent vehicular systems capable of navigating the complexities of real-world environments. Beyond algorithms and architectures, it emphasizes ethical, safety, and regulatory considerations that will shape the responsible evolution of AI in transportation. Whether used as a reference, a textbook, or a guide for applied projects, this work aspires to foster a deeper understanding of how intelligence can be embedded into machines that move the world safely and efficiently. Read more