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Fred Feng
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Year
Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data
F Feng, S Bao, JR Sayer, C Flannagan, M Manser, R Wunderlich
Accident Analysis & Prevention 104, 125-136, 2017
1732017
An on-board system for detecting driver drowsiness based on multi-sensor data fusion using Dempster-Shafer theory
R Feng, G Zhang, B Cheng
2009 International Conference on Networking, Sensing and Control, 897-902, 2009
842009
Drivers overtaking bicyclists—An examination using naturalistic driving data
F Feng, S Bao, RC Hampshire, M Delp
Accident Analysis & Prevention 115, 98-109, 2018
642018
Driver drowsiness detection based on multisource information
B Cheng, W Zhang, Y Lin, R Feng, X Zhang
Human Factors and Ergonomics in Manufacturing & Service Industries 22 (5 …, 2012
642012
Examination and prediction of drivers’ reaction when provided with V2I communication-based intersection maneuver strategies
B Yu, S Bao, F Feng, J Sayer
Transportation Research Part C: Emerging Technologies 106, 17-28, 2019
542019
Real-time detection of driver drowsiness based on steering performance
X Zhang, B Cheng, R Feng
Journal of Tsinghua University (Science and Technology) 50 (7), 1072-1076, 2010
53*2010
Effects of Quantity and Size of Buttons of In-Vehicle Touch Screen on Drivers’ Eye Glance Behavior
F Feng, Y Liu, Y Chen
International Journal of Human–Computer Interaction 34 (12), 1105-1118, 2018
382018
Analysis of causes of rear-end conflicts using naturalistic driving data collected by video drive recorders
Q Lin, R Feng, B Cheng, J Lai, H Zhang, B Mei
SAE Technical Paper, 2008
26*2008
Real-time driver eye detection method using Support Vector Machine with Hu invariant moments
GY Zhang, B Cheng, RJ Feng, JW Li
2008 International Conference on Machine Learning and Cybernetics 5, 2999-3004, 2008
242008
A real-time adaptive learning method for driver eye detection
G Zhang, B Cheng, R Feng, X Zhang
Computing: Techniques and Applications, 2008. DICTA'08. Digital Image, 300-304, 2008
222008
Real-time monitoring of driver fatigue based on eye state recognition
B Cheng, G Zhang, R Feng
Automotive Engineering 30 (11), 1001-1005, 2008
16*2008
A computer-aided usability testing tool for in-vehicle infotainment systems
F Feng, Y Liu, Y Chen
Computers & Industrial Engineering 109, 313-324, 2017
152017
Computer-Aided Usability Evaluation of In-Vehicle Infotainment Systems
F Feng, Y Liu, Y Chen, D Filev, C To
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58 (1 …, 2014
142014
Training and Education: Human Factors Considerations for Automated Driving Systems
AK Pradhan, J Sullivan, C Schwarz, F Feng, S Bao
Road Vehicle Automation 5, 77-84, 2019
122019
Online distraction detection for naturalistic driving dataset using kinematic motion models and a multiple model algorithm
W Sun, M Aguirre, JJ Jin, F Feng, S Rajab, S Saigusa, J Dsa, S Bao
Transportation Research Part C: Emerging Technologies 130, 103317, 2021
112021
Systems and methods for distracted driving detection
A Tahmasbi-Sarvestani, S Bao, F Feng, J Jin, W Sun
US Patent 11,565,693, 2023
102023
System, method, and computer-readable medium for an autonomous vehicle to pass a bicycle
MJ Delp, R Feng, S Bao
US Patent App. 16/029,270, 2020
82020
Driver Drowsiness Detection and Warning System Based on Multi-source Information Fusion
B CHENG, R FENG, W ZHANG, J LI, X ZHANG
Journal of Highway and Transportation Research and Development 26 (S1), 13-18, 2009
8*2009
Design a Sustainable Micro-mobility Future: Trends and Challenges in the United States and European Union Using Natural Language Processing Techniques
L Avetisyan, C Zhang, S Bai, EM Pari, F Feng, S Bao, F Zhou
Journal of Engineering Design, 2022
72022
Automated Vehicles and Vulnerable Road Users: Envisioning a Healthy, Safe and Equitable Future
JM Owens, L Sandt, A Habibovic, SR McCullough, R Snyder, ...
Automated Vehicles Symposium, 61-71, 2019
62019
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Articles 1–20