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Advanced Sensing and Control for Connected and Automated Vehicles

Lv, Chen - Personal Name; Yan, Fuwu - Personal Name; Zhao, Yifan - Personal Name; Zhao, Wanzhong - Personal Name; Huang, Chao (editor) Du, Haiping - Personal Name;

Connected and automated vehicles (CAVs) are a transformative technology that is expected to change and improve the safety and efficiency of mobility. As the main functional components of CAVs, advanced sensing technologies and control algorithms, which gather environmental information, process data, and control vehicle motion, are of great importance. The development of novel sensing technologies for CAVs has become a hotspot in recent years. Thanks to improved sensing technologies, CAVs are able to interpret sensory information to further detect obstacles, localize their positions, navigate themselves, and interact with other surrounding vehicles in the dynamic environment. Furthermore, leveraging computer vision and other sensing methods, in-cabin humans' body activities, facial emotions, and even mental states can also be recognized. Therefore, the aim of this Special Issue has been to gather contributions that illustrate the interest in the sensing and control of CAVs.


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Detail Information
Series Title
-
Call Number
-
Publisher
Basel, 2022 : MDPI - Multidisciplinary Digital Publishing Institute., 2022
Collation
284 hlm,: ill, lamp; 21 cm
Language
English
ISBN/ISSN
9783036534886
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
History of engineering and technology
Specific Detail Info
-
Statement of Responsibility
Huang, Chao (editor) Du, Haiping (editor) Zhao, Wanzhong (editor) Zhao, Yifan (editor) Yan, Fuwu (editor) Lv, Chen (editor)
Other Information
Cataloger
ida
Source
https://directory.doabooks.org/handle/20.500.12854/81125
Validator
-
Digital Object Identifier (DOI)
https://directory.doabooks.org/handle/20.500.12854/81125
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
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No other version available

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  • Advanced Sensing and Control for Connected and Automated Vehicles
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