Navigate autonomous vehicle technology, business, and regulatory frameworks together

Autonomous driving development demands more than clever algorithms. Autonomous Driving: Technology, Business, and Regulation treats autonomy as a systems problem. It links sensing, algorithms, hardware/software platforms, data, vehicle value chains, market structure, commercialization, batteries, safety standards, and legal frameworks. Written by authors from academia and industry, the book gives readers a holistic view of how autonomous-driving systems are built, deployed, financed, and governed.

Coverage spans multiple technical topics in autonomous driving, including: localization, perception, prediction, motion planning, end-to-end learning, V2X communication, automotive operating systems and chips, data management, and cloud-based development workflows, etc. The book also examines regional market models and their legal frameworks, value-chain shifts across suppliers and platforms, business models, deployment verticals, EV batteries, the safety frameworks that shape real-world autonomy. Each topic is treated through the book’s central theme: managing uncertainty across technology, business, and regulation.

Readers will also find:

• Detailed treatment of cooperative autonomous driving algorithms and platforms, and their role in future smart mobility infrastructure and transportation coordination
• Analysis of vehicle hardware and software platforms, including E/E architecture, domain controllers, SoCs, AUTOSAR, QNX, middleware, and vehicle-cloud workflows
• Examination of investment strategies, value chain, and competitive dynamics shaping the commercial landscape of the autonomous vehicle industry
• Analysis of legal frameworks governing autonomous vehicle and its operation across multiple international jurisdictions
• Domain-expert perspectives giving readers a concise practitioner view in the industry
• Integration of academic research findings with practical engineering and deployment challenges faced by industry practitioners

Industry professionals, graduate students, researchers, investors, and policymakers seeking a clear map of autonomous driving will find this book connects technical depth with the business and regulatory constraints that shape deployment. It equips readers to understand the field as a working ecosystem, not as a single breakthrough technology.

Jianxin Zhao, PhD, is a postdoctoral researcher at the Karlsruhe Institute of Technology (KIT). He completed his PhD at the University of Cambridge under Prof. Jon Crowcroft. He is the author of several technical books. He designs and optimizes Applied AI systems.

Liang Wang, PhD, is an adjunct professor at University of Helsinki and Chief AI Architect at Nokia Technologies, where he designs and implements advanced analytics systems. He holds an MBA from Aalto University and a PhD from University of Helsinki.

Alexey Vinel, PhD, is a professor at the KIT as head of the Cooperative Autonomous Systems group, and the Halmstad University. He conducts research on vehicular communications, cooperative autonomous driving, and smart mobility. He is an IEEE Senior Member.