2014
DOI: 10.3390/s140101106
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Abstract: This paper presents a non-intrusive approach for monitoring driver drowsiness using the fusion of several optimized indicators based on driver physical and driving performance measures, obtained from ADAS (Advanced Driver Assistant Systems) in simulated conditions. The paper is focused on real-time drowsiness detection technology rather than on long-term sleep/awake regulation prediction technology. We have developed our own vision system in order to obtain robust and optimized driver indicators able to be use… Show more

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Cited by 67 publications
(40 citation statements)
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“…Deep learning techniques are becoming indispensable in autonomous driving, for tasks such as the recognition of people, cars, and lanes surrounding autonomous vehicles [24,[31][32][33]. In fact, deep learning can handle the numerous variables in a driving environment that otherwise hinder the development of conventional algorithms.…”
Section: Deep Learning-based Sensorsmentioning
confidence: 99%
“…Deep learning techniques are becoming indispensable in autonomous driving, for tasks such as the recognition of people, cars, and lanes surrounding autonomous vehicles [24,[31][32][33]. In fact, deep learning can handle the numerous variables in a driving environment that otherwise hinder the development of conventional algorithms.…”
Section: Deep Learning-based Sensorsmentioning
confidence: 99%
“…Different functionalities are already available in commercial vehicles, such as, early mature technology, the Antilock Braking (ABS) [1], Traction Control System (TCS) [2], Electronic Stability Program(ESP) [3], Electric Power Steering (EPS) [4,5], and Electronic Braking System (EBS) [6,7], and Automatic Braking System (ABS) [8]. There are also newer technologies such as adaptive cruise control system (ACC) [9], Automatic Parking System (APS) [10], Anti-Collision System (ACS) [11,12,13],and others Advanced Driver Assistance Systems (ADAS) [14,15,16,17]. The ultimate goal of the technological development is to realize automatic driving.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the use of on-board sensors already available in the vehicle to analyze driver behaviour is a low-cost and powerful alternative to the vision-based monitoring systems [20,21]. However, these systems should not be treated like different alternatives, because they can be used together (fusioned) in order to obtain indicators for monitoring [22]. Hence, for the sake of completeness, in this paper review only “purely” vision-based monitoring systems have been reviewed.…”
Section: Introductionmentioning
confidence: 99%