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2023 | OriginalPaper | Chapter

Advances, Opportunities and Challenges in AI-enabled Technologies for Autonomous and Connected Vehicles

Authors : Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta

Published in: AI-enabled Technologies for Autonomous and Connected Vehicles

Publisher: Springer International Publishing

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Abstract

Like many industries, the automotive industry is experiencing a revolutionary change driven by the convergence of connectivity, electrification and changing customer needs. This book explores the state-of-the-art of such transformative technologies, including artificial intelligence-based systems for the sensing and control of autonomous vehicles, vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications, and Internet of Things (IOT) and cloud-based services relevant to the automotive industry. By integrating vehicle autonomy with connectivity, significant improvements in safety, performance, environmental impact, and comfort/convenience can be achieved. This chapter addresses these advanced technologies and the nexus among them, and gives a brief introduction of the chapters in the book.

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Metadata
Title
Advances, Opportunities and Challenges in AI-enabled Technologies for Autonomous and Connected Vehicles
Authors
Yi Lu Murphey
Ilya Kolmanovsky
Paul Watta
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-06780-8_1

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