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This book offers an accessible introduction to the fast-moving world of autonomous driving. Aimed at students, researchers, and professionals, it covers both the core concepts and practical tools used to build self-driving cars.
Key topics include how autonomous vehicles perceive their surroundings, determine their location, plan routes, and make driving decisions. Readers will also get hands-on experience with widely used open-source platforms like ROS2, CARLA, Autoware, and BlueICE.
The book goes beyond technical details to explore real-world deployment challenges, ethical issues, and
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Produktbeschreibung
This book offers an accessible introduction to the fast-moving world of autonomous driving. Aimed at students, researchers, and professionals, it covers both the core concepts and practical tools used to build self-driving cars.

Key topics include how autonomous vehicles perceive their surroundings, determine their location, plan routes, and make driving decisions. Readers will also get hands-on experience with widely used open-source platforms like ROS2, CARLA, Autoware, and BlueICE.

The book goes beyond technical details to explore real-world deployment challenges, ethical issues, and what the future might hold for this transformative technology. While some background in programming and math is helpful, the content is designed to be approachable and engaging for anyone interested in the future of mobility.
Autorenporträt
Dr. Weisong Shi is the Alumni Distinguished Professor and Chair of the Department of Computer and Information Sciences at the University of Delaware. He directs the Connected and Autonomous Research (CAR) Laboratory, which actively collaborates with leading companies in the automotive industry. A globally recognized leader in edge computing and autonomous driving, Dr. Shi currently serves as the Honorary Director of the NSF eCAT Industry University Cooperative Research Center (IUCRC). His landmark paper, Edge Computing: Vision and Challenges, has garnered over 8,800 citations. He is the Editor-in-Chief of IEEE Internet Computing and the founding chair of the steering committees for the ACM/IEEE Symposium on Edge Computing (SEC) and the IEEE International Conference on Mobility (MOST). Dr. Shi is a Fellow of the IEEE.

Yuankai He is a Ph.D. candidate in Computer and Information Sciences at the University of Delaware and a researcher at the Connected and Autonomous Research Laboratory (CAR Lab). His work focuses on simulation frameworks, digital twin technologies, vehicle-to- everything (V2X) communication, and infrastructure-integrated computing systems for autonomous vehicles. He has developed modular tools for high-fidelity testing environments and contributed to systems that connect vehicles and infrastructure for collaborative driving.