A comprehensive survey of driving monitoring and assistance systems

MQ Khan, S Lee - Sensors, 2019 - mdpi.com
Improving a vehicle driver's performance decreases the damage caused by, and chances of,
road accidents. In recent decades, engineers and researchers have proposed several …

Modeling and recognizing driver behavior based on driving data: A survey

W Wang, J Xi, H Chen - Mathematical Problems in Engineering, 2014 - Wiley Online Library
In recent years, modeling and recognizing driver behavior have become crucial to
understanding intelligence transport systems, human‐vehicle systems, and intelligent …

Driving style recognition for intelligent vehicle control and advanced driver assistance: A survey

CM Martinez, M Heucke, FY Wang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Driver driving style plays an important role in vehicle energy management as well as driving
safety. Furthermore, it is key for advance driver assistance systems development, toward …

An overview on study of identification of driver behavior characteristics for automotive control

N Lin, C Zong, M Tomizuka, P Song… - Mathematical …, 2014 - Wiley Online Library
Driver characteristics have been the research focus for automotive control. Study on
identification of driver characteristics is provided in this paper in terms of its relevant …

A game theoretic model predictive controller with aggressiveness estimation for mandatory lane change

Q Zhang, R Langari, HE Tseng, D Filev… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this article, we develop a game theoretic model predictive controller (GTMPC) with
aggressiveness estimation to deal with the mandatory lane change (MLC) problem in …

Establishing style-oriented driver models by imitating human driving behaviors

L Xu, J Hu, H Jiang, W Meng - IEEE Transactions on Intelligent …, 2015 - ieeexplore.ieee.org
Driver modeling is important for both automobile industry and intelligent transportation. One
of its key topics has been studied in this paper, ie, the style-oriented driver modeling for …

A comparative study of aggressive driving behavior recognition algorithms based on vehicle motion data

Y Ma, Z Zhang, S Chen, Y Yu, K Tang - IEEE Access, 2018 - ieeexplore.ieee.org
Aggressive driving, amongst inappropriate driving behaviors, is largely responsible for
leading to traffic accidents, which threatens both the safety and property of human beings …

Dynamic neuro-fuzzy-based human intelligence modeling and control in GTAW

YK Liu, WJ Zhang, YM Zhang - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Human welder's experiences and skills are critical for producing quality welds in manual gas
tungsten arc welding (GTAW) process. In this paper, a neuro-fuzzy-based human …

Mixed reality-based active Hazard prevention system for heavy machinery operators

T Chen, N Yabuki, T Fukuda - Automation in Construction, 2024 - Elsevier
The use of heavy machinery in construction has significantly improved efficiency but poses a
risk of serious accidents when not operated safely. While warning systems can mitigate …

Remaining driving range prediction for electric vehicles: Key challenges and outlook

P Mei, HR Karimi, C Huang, F Chen… - IET Control Theory & …, 2023 - Wiley Online Library
Remaining driving range (RDR) research has continued to consistently evolve with the
development of electric vehicles (EVs). Accurate RDR prediction is a promising approach to …