Published Books & Contributed Chapters
Vehicle Computing: From Traditional Transportation to Computing on Wheels
Published Date: July, 2024
Publisher: Springer Nature Switzerland
ISBN: 3031599624, 9783031599620
Length: 242 pages
My Role: First author
Description: With the rapid advancement of edge computing, sensing, AI, and communication technologies, vehicles are undergoing a significant transformation. They are evolving from traditional, vehicle-centric, closed transportation tools into AI-centric, connected, and autonomous driving vehicles with dynamic functionalities. These vehicles are set to transcend their conventional transportation roles, transforming into versatile mobile computing platforms. This book illustrates the emerging and promising paradigm of vehicle computing, detailing the evolution of vehicle software and computing system architectures. It provides comprehensive examples of vehicle computing applications and introduces a novel business model in the vehicle computing era. The five core functionalities of vehicle computing, i.e., computation, communication, energy management, sensing, and data storage, and their related cutting-edge technologies are thoroughly explored. This book discusses the critical technical challenges and exciting new opportunities in vehicle computing. We hope this book will trigger significant interest in this forefront domain and promote innovative academic and industry research in vehicle computing.
Keywords: computation, communication, energy management, mobile sensing, data storage
Autonomous Vehicles and Systems: A Technological and Societal Perspective
Published Date: December, 2023
Publisher: River Publishers
ISBN: 9781032629537, 877022885X, 978-8770228855
Length: 464 pages
My Role: Contributed to Chapter 8
Description: This book brings together multidisciplinary research encompassing various aspects of Autonomous Vehicle Systems (AVS) research and development. As this field continues to make rapid advancements, AVS is swiftly moving towards realization. The book explores contributions from a wide range of knowledge areas, highlighting the multidisciplinary nature of research and development in this field. Topics covered include the application of AI and deep learning in AVS, autonomous steering through deep neural networks, adversarial attacks and defenses, gesture recognition for vehicle control, multi-sensor fusion, teleoperation technologies, AVS simulation and game-theoretic decision-making, path-following control system design, hybrid cloud and edge solutions, and the ethics of AVS.
Keywords: deep learning, attacks and defenses, vehicle control, multi-sensor fusion, teleoperation, simulation, cloud and edge solutions, ethics