A Review of Methods for Predicting Driver Take-Over Time in Conditionally Automated Driving.

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Title: A Review of Methods for Predicting Driver Take-Over Time in Conditionally Automated Driving.
Authors: Wu H; College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.; Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China., Zhou X; College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.; Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China., Lyu N; Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China., Wang Y; College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.; Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China., Xu L; College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.; Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China., Yang Z; College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.; Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Nov 13; Vol. 25 (22). Date of Electronic Publication: 2025 Nov 13.
Publication Type: Journal Article; Review
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A Review of Methods for Predicting Driver Take-Over Time in Conditionally Automated Driving.
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  Data: <searchLink fieldCode="AU" term="%22Wu+H%22">Wu H</searchLink>; College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.; Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China.<br /><searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.; Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China.<br /><searchLink fieldCode="AU" term="%22Lyu+N%22">Lyu N</searchLink>; Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.; Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China.<br /><searchLink fieldCode="AU" term="%22Xu+L%22">Xu L</searchLink>; College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.; Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China.<br /><searchLink fieldCode="AU" term="%22Yang+Z%22">Yang Z</searchLink>; College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.; Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China.
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  Data: <searchLink fieldCode="JN" term="%22101204366%22">Sensors (Basel, Switzerland)</searchLink> [Sensors (Basel)] 2025 Nov 13; Vol. 25 (22). <i>Date of Electronic Publication: </i>2025 Nov 13.
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