Overview

The automotive industry is rapidly transforming. Advances in computing, data processing, and artificial intelligence (deep learning in particular) are driving the development of new levels of automation that will impact all aspects of our lives including our vehicles. What are Connected and Automated Vehicles (CAVs)? What are the underlying technologies that need to mature and converge for them to be widely deployed? This book is written to answer these questions, educating the reader with the information required to make informed predictions of how and when CAVs will impact their lives.

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Jeffrey Wishart is Managing Engineer at the Test and Engineering Center of Exponent, Inc. as well as an adjunct professor in Automotive Systems of the Ira A. Fulton Schools of Engineering at Arizona State University. Yan Chen is an Assistant Professor at Arizona State University. He is the author/co-author of more than 55 peer-reviewed publications. He serves as Associate Editor for IEEE Transactions on Vehicular Technology and IFAC Mechatronics. Steven Como is Senior Engineer at Exponent, Inc., where he specializes in accident reconstruction and the application of mechanical system and component analyses to vehicles. Narayanan Kidambi is Senior Associate at Exponent, Inc. His expertise lies in the intersection of mechanics, dynamics, and control. He has collaborated with industry partners to develop parameter estimation methods. Duo Lu is an assistant professor of the Department of Computer Science at Rider University, where he specializes in automated vehicles, robotics, computer vision, and the application of motion capture to road transportation systems. Yezhou Yang is an assistant professor at School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, directing the Active Perception Group. He has published over 60 papers.

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