353 research outputs found
Driver monitoring system based on eye tracking
Dissertação de mestrado integrado em Engenharia Electrónica Industrial e ComputadoresRecent statistics indicate that driver drowsiness is one of the major causes
of road accidents and deaths behind the wheel. This reveals the need of reliable
systems capable of predict when drivers are in this state and warn them in order
to avoid crashes with other vehicles or stationary objects.
Therefore, the purpose of this dissertation is to develop a driver’s monitoring
system based on eye tracking that will be able to detect driver’s drowsiness level
and actuate accordingly. The alert to the driver may vary from a message on the
cluster to a vibration on the seat.
The proposed algorithm to estimate driver’s state only requires one variable:
eyelid opening. Through this variable the algorithm computes several eye parameters
used to decide if the driver is drowsy or not, namely: PERCLOS, blink
frequency and blink duration. Eyelid opening is obtained over a software and
hardware platform called SmartEye Pro. This eye tracking system uses infrared
cameras and computer vision software to gather eye’s state information.
Additionally, since this dissertation is part of the project "INNOVATIVE
CAR HMI", from Bosch and University of Minho partnership, the driver monitoring
system will be integrated in the Bosch DSM (Driver Simulator Mockup).Estatísticas recentes indicam que a sonolência do condutor é uma das principais
causas de acidentes e mortes nas estradas. Isto revela a necessidade de
sistemas fiáveis capazes de prever quando um condutor está sonolento e avisá-lo,
de modo a evitar colisões com outros veículos ou objetos estacionários.
Portanto, o propósito desta dissertação é desenvolver um sistema de monitorização
do condutor baseado em eye tracking que será capaz de detetar o nível
de sonolência do condutor e atuar em conformidade. O alerta para o condutor
pode variar entre uma mensagem no painel de instrumentos ou uma vibração no
assento.
O algoritmo proposto para estimar o estado do condutor apenas requer a
aquisição de uma variável: abertura da pálpebra. Através desta variável, o algoritmo
computa alguns parâmetros utilizados para verificar se o condutor está
sonolento ou não, nomeadamente: PERCLOS, frequência do pestanejar e duração
do pestanejar. A abertura da pálpebra é obtida através de uma plataforma de hardware
e software chamada SmartEye Pro. Esta plataforma de eye tracking utiliza
câmaras infravermelho e software de visão por computador para obter informação
sobre o estado dos olhos.
Adicionalmente, uma vez que esta dissertação está inserida projeto: "INNOVATIVE
CAR HMI", da parceria entre a Bosch e a Universidade do Minho, o
sistema desenvolvido será futuramente integrado no Bosch DSM (Driver Simulator
Mockup)
SUBJECTIVE METHODS FOR ASSESSMENT OF DRIVER DROWSINESS
The paper deals with the issue of fatigue and sleepiness behind the wheel, which for a long time has been of vital importance for the research in the area of driver-car interaction safety. Numerous experiments on car simulators with diverse measurements to observe human behavior have been performed at the laboratories of the faculty of the authors. The paper provides analysis and an overview and assessment of the subjective (self-rating and observer rating) methods for observation of driver behavior and the detection of critical behavior in sleep deprived drivers using the developed subjective rating scales
Can Low Cost Road Engineering Measures Combat Driver Fatigue? A Driving Simulator Investigation
Driver fatigue is a major cause of road accidents, accounting for over 20% of serious accidents on motorways and monotonous roads in the U.K. This study investigated the potential for low-cost, road-based, engineering measures to act as alerting features in an otherwise monotonous driving environment and hence combat fatigue. Thirty-three drivers took part in the driving simulator study. There was some evidence of an alerting effect provided to drivers by all three of the treatments tested: chevron road-surface markings, transversecarriageway rumble strips and variable message signs. However, the alerting effect did appear to be relatively weak and potentially quite short-lived. Nevertheless, there may well be potential for any of the novel alerts to be deployed in the field in a known fatigue-related accident area
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