Foundations of Driverless Technology

"Foundations of Driverless Technology"
"Foundations of Driverless Technology" presents a comprehensive and methodical exploration of the core engineering, scientific, and regulatory principles underpinning modern autonomous vehicles. This essential reference begins with detailed analyses of hardware and software architectures, delving into specialized computing platforms, distributed system design, and the integration of onboard, edge, and cloud resources. Readers are guided through the precise interplay of sensors, real-time constraints, communication protocols, and robust systems engineering that form the bedrock of reliable driverless platforms.
The book's breadth extends from sophisticated perception-encompassing sensor fusion, deep learning for scene understanding, and real-time 3D mapping-to advanced motion planning, localization, and control. In-depth chapters address machine learning, AI-driven planning and prediction, fail-safe operational design, and the critical intersection of connectivity, cybersecurity, and functional safety. Practical lessons and validation methodologies are supported by coverage of formal verification, simulation frameworks, and compliance with international safety standards, ensuring a holistic view on reliability and resilience.
Finally, "Foundations of Driverless Technology" examines the wider context of deploying autonomous vehicles at scale, including global regulatory frameworks, ethical imperatives, human interaction, and the broader societal impacts of driverless mobility. By unifying rigorous technical detail with forward-looking insights into regulation, deployment strategies, and future research challenges, this volume serves as an authoritative guide for engineers, researchers, and policymakers shaping the evolution of autonomous transportation.