ISBN: 9798337377858 - digital twin approaches in autonomous vehicles (9 resultados)

Condición: New.

Hardback. Condición: New.

Hardback. Condición: New.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condición: new. Hardcover. The rapid advancement of autonomous vehicle (AV) technologies is reshaping modern transportation, promising improved safety, efficiency, and sustainability. As these systems grow more complex, ensuring their reliability and adaptability in real-world conditions becomes a critical challenge. In this context, Digital Twins (DTs) have emerged as a transformative tool for modeling, simulating, and optimizing AV systems. A DT is a dynamic virtual replica of a physical system that mirrors its real-time state, behavior, and interactions with the environment. By integrating data from sensors, communication networks, and onboard computing units, DTs enable developers and researchers to simulate driving scenarios, assess vehicle performance, and predict potential failures before they occur in the real world. Digital Twin Approaches in Autonomous Vehicles explores the integration of digital twin technology with AV systems, highlighting both theoretical foundations and practical applications. This book provides comprehensive coverage of core concepts, methodologies, and applications of digital twins in vehicle design, testing, real-time simulation, predictive maintenance, safety validation, and connected vehicle ecosystems. Covering topics such as artificial intelligence, predictive maintenance, and vehicle-to-everything communication, this book is an excellent academic resource for graduate and doctoral students, engineers, technology developers, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. The rapid advancement of autonomous vehicle (AV) technologies is reshaping modern transportation, promising improved safety, efficiency, and sustainability. As these systems grow more complex, ensuring their reliability and adaptability in real-world conditions becomes a critical challenge. In this context, Digital Twins (DTs) have emerged as a transformative tool for modeling, simulating, and optimizing AV systems. A DT is a dynamic virtual replica of a physical system that mirrors its real-time state, behavior, and interactions with the environment. By integrating data from sensors, communication networks, and onboard computing units, DTs enable developers and researchers to simulate driving scenarios, assess vehicle performance, and predict potential failures before they occur in the real world. Digital Twin Approaches in Autonomous Vehicles explores the integration of digital twin technology with AV systems, highlighting both theoretical foundations and practical applications. This book provides comprehensive coverage of core concepts, methodologies, and applications of digital twins in vehicle design, testing, real-time simulation, predictive maintenance, safety validation, and connected vehicle ecosystems. Covering topics such as artificial intelligence, predictive maintenance, and vehicle-to-everything communication, this book is an excellent academic resource for graduate and doctoral students, engineers, technology developers, policymakers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: new. Hardcover. The rapid advancement of autonomous vehicle (AV) technologies is reshaping modern transportation, promising improved safety, efficiency, and sustainability. As these systems grow more complex, ensuring their reliability and adaptability in real-world conditions becomes a critical challenge. In this context, Digital Twins (DTs) have emerged as a transformative tool for modeling, simulating, and optimizing AV systems. A DT is a dynamic virtual replica of a physical system that mirrors its real-time state, behavior, and interactions with the environment. By integrating data from sensors, communication networks, and onboard computing units, DTs enable developers and researchers to simulate driving scenarios, assess vehicle performance, and predict potential failures before they occur in the real world. Digital Twin Approaches in Autonomous Vehicles explores the integration of digital twin technology with AV systems, highlighting both theoretical foundations and practical applications. This book provides comprehensive coverage of core concepts, methodologies, and applications of digital twins in vehicle design, testing, real-time simulation, predictive maintenance, safety validation, and connected vehicle ecosystems. Covering topics such as artificial intelligence, predictive maintenance, and vehicle-to-everything communication, this book is an excellent academic resource for graduate and doctoral students, engineers, technology developers, policymakers, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid advancement of autonomous vehicle (AV) technologies is reshaping modern transportation, promising improved safety, efficiency, and sustainability. As these systems grow more complex, ensuring their reliability and adaptability in real-world conditions becomes a critical challenge. In this context, Digital Twins (DTs) have emerged as a transformative tool for modeling, simulating, and optimizing AV systems. A DT is a dynamic virtual replica of a physical system that mirrors its real-time state, behavior, and interactions with the environment. By integrating data from sensors, communication networks, and onboard computing units, DTs enable developers and researchers to simulate driving scenarios, assess vehicle performance, and predict potential failures before they occur in the real world. Digital Twin Approaches in Autonomous Vehicles explores the integration of digital twin technology with AV systems, highlighting both theoretical foundations and practical applications. This book provides comprehensive coverage of core concepts, methodologies, and applications of digital twins in vehicle design, testing, real-time simulation, predictive maintenance, safety validation, and connected vehicle ecosystems. Covering topics such as artificial intelligence, predictive maintenance, and vehicle-to-everything communication, this book is an excellent academic resource for graduate and doctoral students, engineers, technology developers, policymakers, and more.…