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...
| Format: | eBook |
|---|---|
| Language: | English |
| Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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| 020 | |a books978-3-0365-7331-1 | ||
| 024 | 7 | |a 10.3390/books978-3-0365-7331-1 |2 doi | |
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| 072 | 7 | |a TB |2 bicssc | |
| 072 | 7 | |a TBX |2 bicssc | |
| 720 | 1 | |a Huang, Chao |4 edt | |
| 720 | 1 | |a Hang, Peng |4 edt | |
| 720 | 1 | |a Hang, Peng |4 oth | |
| 720 | 1 | |a Huang, Chao |4 oth | |
| 720 | 1 | |a Leng, Bo |4 edt | |
| 720 | 1 | |a Leng, Bo |4 oth | |
| 720 | 1 | |a Wang, Yafei |4 edt | |
| 720 | 1 | |a Wang, Yafei |4 oth | |
| 720 | 1 | |a Zuo, Zhiqiang |4 edt | |
| 720 | 1 | |a Zuo, Zhiqiang |4 oth | |
| 245 | 0 | 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 online 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 |f Unrestricted online access |2 star | |
| 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 |u https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a History of engineering & technology |2 bicssc | |
| 650 | 7 | |a Technology: general issues |2 bicssc | |
| 653 | |a [criticality assessment] | ||
| 653 | |a [decision-making] | ||
| 653 | |a [fault tolerant control] | ||
| 653 | |a [human-machine collaboration] | ||
| 653 | |a [object detection] | ||
| 653 | |a [path planning] | ||
| 653 | |a [pedestrian state sense] | ||
| 653 | |a [trajectory prediction] | ||
| 653 | |a [vehicle status estimation] | ||
| 793 | 0 | |a DOAB Library. | |
| 856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/100111 |7 0 |z Open Access: DOAB: description of the publication |
| 856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/7204 |7 0 |z Open Access: DOAB, download the publication |