The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review

ZE Abou Elassad, H Mousannif… - … Applications of Artificial …, 2020 - Elsevier
Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …

A systematic survey of driving fatigue monitoring

Z Zhang, H Ning, F Zhou - IEEE transactions on intelligent …, 2022 - ieeexplore.ieee.org
The appearance of fatigue is not conducive to driving activities because this state can affect
driving performance and even cause life-threatening consequences. To reduce various …

A driving fatigue feature detection method based on multifractal theory

F Wang, H Wang, X Zhou, R Fu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Driving fatigue seriously threatens traffic safety. In our work, the multifractal detrended
fluctuation analysis (MF-DFA) method is proposed to detect driver fatigue caused by driving …

[PDF][PDF] Retracted article

X Wang, W Xu, G Hu, S Xia, Z Sun… - Scientific …, 2021 - asp-eurasipjournals.springeropen …
With the in-depth development of the market economy and the acceleration of the process of
urbanization, a large number of people have poured into the city, and a large number of …

A fatigue driving detection algorithm based on facial multi-feature fusion

K Li, Y Gong, Z Ren - IEEE Access, 2020 - ieeexplore.ieee.org
Researches on machine vision-based driver fatigue detection algorithm have improved
traffic safety significantly. Generally, many algorithms do not analyze driving state from driver …

A real-time driving drowsiness detection algorithm with individual differences consideration

F You, X Li, Y Gong, H Wang, H Li - Ieee Access, 2019 - ieeexplore.ieee.org
The research work about driving drowsiness detection algorithm has great significance to
improve traffic safety. Presently, there are many fruits and literature about driving drowsiness …

Analyzing the leading causes of traffic fatalities using XGBoost and grid-based analysis: a city management perspective

J Ma, Y Ding, JCP Cheng, Y Tan, VJL Gan… - IEEE Access, 2019 - ieeexplore.ieee.org
Traffic accidents have been one of the most important global public problems. It has caused
a severe loss of human lives and property every year. Studying the influential factors of …

Pedestrian detection in severe weather conditions

P Tumas, A Nowosielski, A Serackis - Ieee Access, 2020 - ieeexplore.ieee.org
Pedestrian detection has never been an easy task for computer vision and the automotive
industry. Systems like the advanced driver-assistance system (ADAS) highly rely on far …

Dynamic axial crushing of origami crash boxes

C Zhou, B Wang, J Ma, Z You - International journal of mechanical sciences, 2016 - Elsevier
Thirty-three dynamic tests on thin-walled tubes including conventional square tubes and two
types of origami crash boxes were conducted on a drop hammer rig. All of the origami crash …

Research on fatigue driving detection using forehead EEG based on adaptive multi-scale entropy

H Luo, T Qiu, C Liu, P Huang - Biomedical Signal Processing and Control, 2019 - Elsevier
Fatigue driving is one of the main factors that causes traffic accidents. In the current non-
linear analysis methods, the entropy feature extraction methods can be well applied to …