Human dynamics based driver model for autonomous car

L Li, Y Liu, J Wang, W Deng… - IET Intelligent Transport …, 2016‏ - Wiley Online Library
This study presents a new driver model based on human behaviour dynamics for
autonomous cars, which allows driverless cars to move appropriately in accordance to the …

A robust steering assistance system for road departure avoidance

M Alirezaei, M Corno, D Katzourakis… - IEEE Transactions …, 2012‏ - ieeexplore.ieee.org
A driver-assistance system (DAS) that combines an automatic road departure avoidance
(RDA) system with the driver's steering input is presented. The system is based on a closed …

Powered two-wheeler riding pattern recognition using a machine-learning framework

F Attal, A Boubezoul, L Oukhellou… - IEEE Transactions on …, 2014‏ - ieeexplore.ieee.org
In this paper, a machine-learning framework is used for riding pattern recognition. The
problem is formulated as a classification task to identify the class of riding patterns using …

Spatio-temporal look-ahead trajectory prediction using memory neural network

N Rao, S Sundaram - 2021 International Joint Conference on …, 2021‏ - ieeexplore.ieee.org
Prognostication of vehicle trajectories in unknown environments is intrinsically a challenging
and difficult problem to solve. The behavior of such vehicles is highly influenced by …

Automatic driving maneuver recognition and analysis using cost effective portable devices

A Sathyanarayana, SO Sadjadi, J Hansen - SAE International Journal of …, 2013‏ - sae.org
The use of portable devices for in-vehicle environments has become a major cause for
driver distraction which can be a contributing factor in crashes of varying intensity. Despite …

A formal model of human driving behavior in vehicular networks

A Bouhoute, I Berrada… - 2014 International Wireless …, 2014‏ - ieeexplore.ieee.org
Vehicular Ad-hoc Networks (VANET) are considered as a promising approach for building a
variety of applications for Intelligent Transportation Systems (ITS). They are a kind of mobile …

A new approach to the design of coordinated road departure avoidance systems

M Alirezaei, M Corno, A Ghaffari… - Proceedings of the …, 2012‏ - journals.sagepub.com
In this article, a multi-input multi-output (MIMO) robust road departure avoidance system
based on a closed-loop driver decision estimator (DDE) is presented. The main idea is that …

[PDF][PDF] Fahrerintentionserkennung und Kursprädiktion mit erweiterten maschinellen Lernverfahren

J Börger - 2013‏ - oparu.uni-ulm.de
Vorausschauende Fahrerassistenzsysteme benötigen eine präzise Kenntnis über den
zukünftigen Verlauf der Verkehrssituation; dieser kann in Echtzeitsystemen nur anhand …

Modellierung menschähnlichen Fahrerverhaltens

S Kupschick - 2021‏ - depositonce.tu-berlin.de
Driver models have undergone a remarkable progress over the last decades. Starting from
simple technical controllers for singular tasks (longitudinal or lateral control), requirements …

Modeling and prediction of driver-vehicle-unit velocity using adaptive neuro-fuzzy inference system in real traffic flow

IT Moghaddam, M Ayati, A Taghavipour… - Journal of Mechanical …, 2019‏ - ir.uitm.edu.my
Prediction of the driver-vehicle-unit (DVU) future state is a challenging problem due to many
dynamic factors influencing driver capability, performance and behavior. In this study, a soft …