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Published in 2024 at "Scientific Data"
DOI: 10.1038/s41597-024-03137-y
Abstract: In driver monitoring various data types are collected from drivers and used for interpreting, modeling, and predicting driver behavior, and designing interactions. Aim of this contribution is to introduce manD 1.0, a multimodal dataset that…
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Keywords:
driver monitoring;
dataset;
driver;
automation ... See more keywords
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Published in 2021 at "Traffic Injury Prevention"
DOI: 10.1080/15389588.2021.1899164
Abstract: Abstract Objective Driver monitoring systems (DMS) are the next generation of vehicle safety technology. Broadly, these refer to the embedded, aftermarket wearable or vehicle-mounted devices that collect observable information about the operator to make real-time…
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Keywords:
monitoring systems;
driver;
dms future;
performance ... See more keywords
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Published in 2025 at "Traffic injury prevention"
DOI: 10.1080/15389588.2025.2539923
Abstract: OBJECTIVES Road accidents result from various contributing factors, including driver fatigue, inappropriate vehicle speed, adverse weather, and temporal factors. The research in this paper aims to design and evaluate a Fuzzy Driver Monitoring System (FDMS)…
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Keywords:
dangerous driving;
driver monitoring;
driver;
risk ... See more keywords
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Published in 2022 at "Data"
DOI: 10.3390/data7050062
Abstract: Developing a driver monitoring system that can assess the driver’s state is a prerequisite and a key to improving the road safety. With the success of deep learning, such systems can achieve a high accuracy…
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Keywords:
dataset;
information;
drivermvt cabin;
driver monitoring ... See more keywords