Advanced Sensing and Safety Control for Connected and Automated Vehicles
The connected and automated vehicle (CAV) is a promising piece of technology, anticipated to enhance the safety and effectiveness of mobility. Advanced sensing technologies and control algorithms, working to acquire environmental data, analyze data, and regulate vehicle movements, are key functional...
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Format: | Electronic Book Chapter |
Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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042 | |a dc | ||
072 | 7 | |a TB |2 bicssc | |
072 | 7 | |a TBX |2 bicssc | |
100 | 1 | |a Huang, Chao |4 edt | |
700 | 1 | |a Wang, Yafei |4 edt | |
700 | 1 | |a Hang, Peng |4 edt | |
700 | 1 | |a Zuo, Zhiqiang |4 edt | |
700 | 1 | |a Leng, Bo |4 edt | |
700 | 1 | |a Huang, Chao |4 oth | |
700 | 1 | |a Wang, Yafei |4 oth | |
700 | 1 | |a Hang, Peng |4 oth | |
700 | 1 | |a Zuo, Zhiqiang |4 oth | |
700 | 1 | |a Leng, Bo |4 oth | |
245 | 1 | 0 | |a Advanced Sensing and Safety Control for Connected and Automated Vehicles |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 electronic resource (250 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a The connected and automated vehicle (CAV) is a promising piece of technology, anticipated to enhance the safety and effectiveness of mobility. Advanced sensing technologies and control algorithms, working to acquire environmental data, analyze data, and regulate vehicle movements, are key functional components of CAVs. In recent years, the creation of innovative sensing technologies for CAVs has gained substantial attention. CAVs can now interpret sensory data to more accurately detect impediments, track their locations, navigate autonomously in a dynamic environment, and communicate with other nearby vehicles. This has been made possible by advancements in sensing technology. Additionally, by utilizing computer vision and other sensing techniques, the bodily movements, facial expressions, and even mental states of in-cabin persons can be identified. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Technology: general issues |2 bicssc | |
650 | 7 | |a History of engineering & technology |2 bicssc | |
653 | |a [human-machine collaboration] | ||
653 | |a [decision-making] | ||
653 | |a [object detection] | ||
653 | |a [vehicle status estimation] | ||
653 | |a [pedestrian state sense] | ||
653 | |a [trajectory prediction] | ||
653 | |a [criticality assessment] | ||
653 | |a [fault tolerant control] | ||
653 | |a [path planning] | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7204 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/100111 |7 0 |z DOAB: description of the publication |