Decision-making in driver-automation shared control : a review and perspectives
Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver's abilities to control. The human driver, as an essential agent in the driver-vehicle shared control systems, should be precisely modeled regarding their cogn...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/145525 |
| _version_ | 1811684448284966912 |
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| author | Wang, Wenshuo Na, Xiaoxiang Cao, Dongpu Gong, Jianwei Xi, Junqiang Xing, Yang Wang, Fei-Yue |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Wang, Wenshuo Na, Xiaoxiang Cao, Dongpu Gong, Jianwei Xi, Junqiang Xing, Yang Wang, Fei-Yue |
| author_sort | Wang, Wenshuo |
| collection | NTU |
| description | Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver's abilities to control. The human driver, as an essential agent in the driver-vehicle shared control systems, should be precisely modeled regarding their cognitive processes, control strategies, and decision-making processes. The interactive strategy design between drivers and automated driving agents brings an excellent challenge for human-centric driver assistance systems due to the inherent characteristics of humans. Many open-ended questions arise, such as what proper role of human drivers should act in a shared control scheme? How to make an intelligent decision capable of balancing the benefits of agents in shared control systems? Due to the advent of these attentions and questions, it is desirable to present a survey on the decision making between human drivers and highly automated vehicles, to understand their architectures, human driver modeling, and interaction strategies under the driver-vehicle shared schemes. Finally, we give a further discussion on the key future challenges and opportunities. They are likely to shape new potential research directions. |
| first_indexed | 2024-10-01T04:28:47Z |
| format | Journal Article |
| id | ntu-10356/145525 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:28:47Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1455252023-03-04T17:12:45Z Decision-making in driver-automation shared control : a review and perspectives Wang, Wenshuo Na, Xiaoxiang Cao, Dongpu Gong, Jianwei Xi, Junqiang Xing, Yang Wang, Fei-Yue School of Mechanical and Aerospace Engineering Engineering::Electrical and electronic engineering Automated Vehicle Decision-making Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver's abilities to control. The human driver, as an essential agent in the driver-vehicle shared control systems, should be precisely modeled regarding their cognitive processes, control strategies, and decision-making processes. The interactive strategy design between drivers and automated driving agents brings an excellent challenge for human-centric driver assistance systems due to the inherent characteristics of humans. Many open-ended questions arise, such as what proper role of human drivers should act in a shared control scheme? How to make an intelligent decision capable of balancing the benefits of agents in shared control systems? Due to the advent of these attentions and questions, it is desirable to present a survey on the decision making between human drivers and highly automated vehicles, to understand their architectures, human driver modeling, and interaction strategies under the driver-vehicle shared schemes. Finally, we give a further discussion on the key future challenges and opportunities. They are likely to shape new potential research directions. Published version 2020-12-28T01:11:47Z 2020-12-28T01:11:47Z 2020 Journal Article Wang, W., Na, X., Cao, D., Gong, J., Xi, J., Xing, Y., & Wang, F.-Y. (2020). Decision-making in driver-automation shared control : a review and perspectives. IEEE/CAA Journal of Automatica Sinica, 7(5), 1289-1307. doi:10.1109/JAS.2020.1003294 2329-9266 https://hdl.handle.net/10356/145525 10.1109/JAS.2020.1003294 5 7 1289 1307 en IEEE/CAA Journal of Automatica Sinica © 2020 the Chinese Association of Automation. All rights reserved. This paper was published in IEEE/CAA Journal of Automatica Sinica and is made available with permission of the Chinese Association of Automation. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Automated Vehicle Decision-making Wang, Wenshuo Na, Xiaoxiang Cao, Dongpu Gong, Jianwei Xi, Junqiang Xing, Yang Wang, Fei-Yue Decision-making in driver-automation shared control : a review and perspectives |
| title | Decision-making in driver-automation shared control : a review and perspectives |
| title_full | Decision-making in driver-automation shared control : a review and perspectives |
| title_fullStr | Decision-making in driver-automation shared control : a review and perspectives |
| title_full_unstemmed | Decision-making in driver-automation shared control : a review and perspectives |
| title_short | Decision-making in driver-automation shared control : a review and perspectives |
| title_sort | decision making in driver automation shared control a review and perspectives |
| topic | Engineering::Electrical and electronic engineering Automated Vehicle Decision-making |
| url | https://hdl.handle.net/10356/145525 |
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