Zhenji Lu
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Human factors of transitions in automated driving: A general framework and literature survey
Z Lu, R Happee, CDD Cabrall, M Kyriakidis, JCF de Winter
Transportation research part F: traffic psychology and behaviour 43, 183-198, 2016
1512016
How much time do drivers need to obtain situation awareness? A laboratory-based study of automated driving
Z Lu, X Coster, J De Winter
Applied ergonomics 60, 293-304, 2017
1092017
A review and framework of control authority transitions in automated driving
Z Lu, J de Winter
522015
Curve speed model for driver assistance based on driving style classification
D Chu, Z Deng, Y He, C Wu, C Sun, Z Lu
IET Intelligent Transport Systems 11 (8), 501-510, 2017
232017
Beyond mere take-over requests: The effects of monitoring requests on driver attention, take-over performance, and acceptance
Z Lu, B Zhang, A Feldhütter, R Happee, M Martens, JCF De Winter
Transportation research part F: traffic psychology and behaviour 63, 22-37, 2019
182019
Performance benchmark of state-of-the-art lateral path-following controllers
Z Lu, B Shyrokau, B Boulkroune, S Van Aalst, R Happee
2018 IEEE 15th International Workshop on Advanced Motion Control (AMC), 541-546, 2018
152018
A path-planning algorithm for parallel automatic parking
Z Lv, L Zhao, Z Liu
Proceedings of the 3rd International Conference on Instrumentation …, 2013
14*2013
Take over! A video-clip study measuring attention, situation awareness, and decision-making in the face of an impending hazard
Z Lu, R Happee, JCF de Winter
Transportation research part F: traffic psychology and behaviour 72, 211-225, 2020
92020
Validity and reliability of naturalistic driving scene categorization judgments from crowdsourcing
CDD Cabrall, Z Lu, M Kyriakidis, L Manca, C Dijksterhuis, R Happee, ...
Accident Analysis & Prevention 114, 25-33, 2018
82018
CDD: Cabrall, M. Kyriakidis, JCF de Winter,“
Z Lu, R Happee
Human factors of transitions in automated driving: A general framework and …, 2016
42016
Driving risk classification methodology for intelligent drive in real traffic event
C Sun, B Li, Y Li, Z Lu
International Journal of Pattern Recognition and Artificial Intelligence 33 …, 2019
22019
Compliance with monitoring requests, biomechanical readiness, and take-over performance: Video analysis from a simulator study
B Zhang, Z Lu, R Happee, JCF De Winter, M Martens
13th ITS European Congress, ITS-1977, 2019
22019
A novel method of symbolic representation in diving data mining: A case study of highways in China
C Sun, W Liu, D Chu, W Li, Z Lu, J Wang
Concurrency and Computation: Practice and Experience 30 (24), e4976, 2018
22018
A recognition model of driving risk based on Belief Rule-Base methodology
C Sun, C Wu, D Chu, Z Lu, J Tan, J Wang
International Journal of Pattern Recognition and Artificial Intelligence 32 …, 2018
22018
Human Factors of Transitions in Automated Driving
Z Lu
Delft University of Technology, 2020
12020
Current insights in human factors of automated driving and future outlook towards tele-operated remote driving services
CDD Cabrall, A Eriksson, Z Lu, SM Petermeijer
International Conference on Intelligent Human Systems Integration, 10-12, 2018
12018
Modelling the dynamics of driver situation awareness in automated driving
Z Lu, R Happee, J de Winter
International Conference on Applied Human Factors and Ergonomics, 643-649, 2017
12017
A novel method of symbolic representation in diving data mining: A case study of highways in China
C Sun, W Liu, D Chu, W Li, Z Lu, J Wang
Concurrency and Computation: Practice and Experience 31 (7), e5115, 2019
2019
Compliance with Monitoring Requests, Biomechanical Readiness, and Take-Over Performance
B Zhang, Z Lu, R Happee, JCF de Winter, M Martens
2019
Take over! Attention, situation awareness, and decision-making in the face of an impending threat
Z Lu, R Happee, JCF de Winter
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Artiklar 1–20