A Review of Methods for Predicting Driver Take-Over Time in Conditionally Automated Driving.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1424-8220 |
|---|---|
| DOI: | 10.3390/s25226931 |
