Various approaches for driver and driving behavior monitoring: A review

HB Kang - Proceedings of the IEEE International Conference on …, 2013 - cv-foundation.org
… is to discuss monitoring the driver’s state as well as predicting unsafe driving behaviors. We
… Monitoring driver state, driving behavior performance and vehicle state is very important for …

A review of HMM-based approaches of driving behaviors recognition and prediction

Q Deng, D Söffker - IEEE Transactions on Intelligent Vehicles, 2021 - ieeexplore.ieee.org
… The aim of this contribution is to analyze the current state of various driving behavior
models and related HMM-based algorithms. By examining the current available approaches, a …

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
… real-time driver behavior and vehicle states, or by monitoring driver’s … driver behavior
characteristics, the following task can be performed: (1) the vehicle would follow the current driver

Driver behavior and situation aware brake assistance for intelligent vehicles

JC McCall, MM Trivedi - Proceedings of the IEEE, 2007 - ieeexplore.ieee.org
… This will utilize sensor subsystem to extract informational cues about the vehicle, vehicle
surround, as well as driver state. A novel analysis module will consider these inputs to access …

A probabilistic model for estimating driver behaviors and vehicle trajectories in traffic environments

T Gindele, S Brechtel, R Dillmann - 13th International IEEE …, 2010 - ieeexplore.ieee.org
… For representing a vehicle state we apply a kinematic one-track model which virtually replaces
the front and the rear wheels by one in the middle. Neglecting any slipping effects, the car …

A framework for estimating long term driver behavior

V Gadepally, A Krishnamurthy… - Journal of advanced …, 2017 - Wiley Online Library
… We present a framework for estimation of long term driver behavior for autonomous
vehicles and vehicle safety systems. The Hybrid State System and Hidden Markov Model (HSS+HMM…

Energy oriented driving behavior analysis and personalized prediction of vehicle states with joint time series modeling

Y Xing, C Lv, D Cao, C Lu - Applied Energy, 2020 - Elsevier
vehicle energy consumption index and vehicle state prediction based on the analysis of driving
styles and driving behavior. … energy consumption-oriented driving style analysis, energy-…

Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles

Y Xing, C Lv, D Cao, E Velenis - Transportation research part C: emerging …, 2021 - Elsevier
… system for intelligent vehicles. Therefore, in this study, a driver behavior modeling system
is … of observable driver behaviors is the fundamental of mental state modeling. The physical …

A personalizable driver steering model capable of predicting driver behaviors in vehicle collision avoidance maneuvers

S Schnelle, J Wang, HJ Su… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
driver model that is able to not only identify different individual driver behaviors, but also
predict a driver’s behavior in … simulator is that it gives complete access to all vehicle states and …

Decision making framework for autonomous vehicles driving behavior in complex scenarios via hierarchical state machine

X Wang, X Qi, P Wang, J Yang - Autonomous Intelligent Systems, 2021 - Springer
state machine set of the lower layer is composed of four kinds of vehicle behaviors, and the
vehicle state … the most reasonable vehicle behavior in the next state, and execute the vehicle