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Fundamentals of connected and automated vehicles

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fundamentals of connected and automated vehicles / by Jeffrey Wishart and Yan Chen, Steven Como, Narayanan Kidambi, Duo Lu and Yezhou Yang.
Author:	Wishart, Jeffrey,
other author:	Chen, Yan,
Description:	1 online resource (1 PDF (xiii, 257 pages)) :illustrations :
Subject:	Automated vehicles. -
ISBN:	9780768099829

Fundamentals of connected and automated vehicles
Wishart, Jeffrey,

Fundamentals of connected and automated vehicles [electronic resource] /by Jeffrey Wishart and Yan Chen, Steven Como, Narayanan Kidambi, Duo Lu and Yezhou Yang. - 1 online resource (1 PDF (xiii, 257 pages)) :illustrations

Includes bibliographical references and index.

Chapter 1. Introduction and history of connected and automated vehicles -- Chapter 2. Localization -- Chapter 3. Connectivity -- Chapter 4. Sensor and actuator hardware -- Chapter 5. Computer vision -- Chapter 6. Sensor fusion -- Chapter 7. Path planning and motion control -- Chapter 8. Verification and validation -- Chapter 9. Outlook.

The automotive industry is transforming to a greater degree that has occurred since Henry Ford introduced mass production of the automobile with the Model T in 1913. 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? Fundamentals of Connected and Automated Vehicles 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. Topics covered include: History of Connected and Automated Vehicles, Localization, Connectivity, Sensor and Actuator Hardware, Computer Vision, Sensor Fusion, Path Planning and Motion Control, Verification and Validation, and Outlook for future of CAVs.

ISBN: 9780768099829

Standard No.: 10.4271/9780768099829doiSubjects--Topical Terms:

1229151
Automated vehicles.

LC Class. No.: TL152.8 / .W57 2022

Fundamentals of connected and automated vehicles
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245 1 0 $a Fundamentals of connected and automated vehicles $h [electronic resource] / $c by Jeffrey Wishart and Yan Chen, Steven Como, Narayanan Kidambi, Duo Lu and Yezhou Yang.
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264 4 $c ©2022
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504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Introduction and history of connected and automated vehicles -- Chapter 2. Localization -- Chapter 3. Connectivity -- Chapter 4. Sensor and actuator hardware -- Chapter 5. Computer vision -- Chapter 6. Sensor fusion -- Chapter 7. Path planning and motion control -- Chapter 8. Verification and validation -- Chapter 9. Outlook.
520 $a The automotive industry is transforming to a greater degree that has occurred since Henry Ford introduced mass production of the automobile with the Model T in 1913. 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? Fundamentals of Connected and Automated Vehicles 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. Topics covered include: History of Connected and Automated Vehicles, Localization, Connectivity, Sensor and Actuator Hardware, Computer Vision, Sensor Fusion, Path Planning and Motion Control, Verification and Validation, and Outlook for future of CAVs.
588 $a Title from PDF title page (SAE Website, 02/01/2022).
650 0 $a Automated vehicles. $3 1229151
650 0 $a Automated vehicles $x Technological innovations. $3 1414337
650 0 $a Deep learning (Machine learning) $3 1381171
650 0 $a Multisensor data fusion. $3 558700
650 7 $a TECHNOLOGY & ENGINEERING / Automation. $2 bisacsh $3 1413330
650 7 $a TRANSPORTATION / Automotive / General. $2 bisacsh $3 1484202
650 7 $a TECHNOLOGY & ENGINEERING / Automotive. $2 bisacsh $3 1413305
650 7 $a COMPUTERS / Artificial Intelligence / General. $2 bisacsh $3 1483828
650 7 $a Automatic control engineering. $2 bicssc $3 809448
650 7 $a Road and motor vehicles: general interest. $2 thema $3 1484203
650 7 $a Automotive technology and trades. $2 thema $3 1484190
650 7 $a Artificial intelligence. $3 559380
700 1 $a Chen, Yan, $e author. $3 1484338
700 1 $a Como, Steven, $e author. $3 1484339
700 1 $a Kidambi, Narayanan, $e author. $3 1484340
700 1 $a Lu, Duo, $e author. $3 1484341
700 1 $a Yang, Yezhou, $e author. $3 1484342
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776 0 8 $i Print version: $z 9780768099805
856 $3 SAE International $g https://doi.org/10.4271/9780768099829