Multi-sensor driver monitoring for drowsiness prediction

C Schwarz, J Gaspar, R Yousefian - Traffic injury prevention, 2023 - Taylor & Francis
Driver monitoring systems are growing in importance as well as capability. This paper reports
drowsy driving … and compare the performance of drowsiness detection models that use …

Driver fatigue detection systems using multi-sensors, smartphone, and cloud-based computing platforms: a comparative analysis

Q Abbas, A Alsheddy - Sensors, 2020 - mdpi.com
… This paper provides an overview of driver-safety monitoring systems through multi-sensor, …
advantages and disadvantages of recent driver monitoring systems using mobile and cloud-…

EEG and ECG-based multi-sensor fusion computing for real-time fatigue driving recognition based on feedback mechanism

L Wang, F Song, TH Zhou, J Hao, KH Ryu - Sensors, 2023 - mdpi.com
… In order to achieve more accurate driver state recognition, we adopted a multi-sensor fusion
… By monitoring these physiological signals, we can indirectly gauge driver fatigue levels. …

Detecting driver drowsiness with multi-sensor data fusion combined with machine learning

H Kulhandjian - 2021 - scholarworks.sjsu.edu
… of visual surveillance to examine the driver for signs of drowsiness. A … , a drowsy driver
detection scheme that can be used for intelligent transportation systems (ITSs), using multi-sensor

Driver status monitoring and early warning system based on multi-sensor fusion

D Liu - … Conference on Intelligent Transportation, Big Data & …, 2020 - ieeexplore.ieee.org
… The network communication of the drunk driving and fatigue driving monitoringmonitoring
function of drunk driving and fatigue driving. The drunk driving and fatigue driving monitoring

Development of Driver State Monitoring System based on Multi-Sensor Data Fusion

S Park, J You - 2023 - preprints.org
driver drowsiness measurement methods, including driver … estimate the driver's drowsiness
by using multi-sensor fusion … in one minute to estimate drowsiness. To build a reliable dataset …

Drowsy Driver Detection Using Deep Learning and Multi-Sensor Data Fusion

H Kulhandjian, N Martinez… - 2022 IEEE Vehicle …, 2022 - ieeexplore.ieee.org
… In Section II, we describe the system overview, followed by the driver drowsiness detection
… We believe this on-board system that monitors driver’s state in real-time will have real value …

A lightweight framework for multi-device integration and multi-sensor fusion to explore driver distraction

G Lechner, M Fellmann, A Festl, C Kaiser… - … , CAiSE 2019, Rome …, 2019 - Springer
… and multi-sensor fusion to enable cost-effective and minimally obtrusive driver monitoring
with … Their findings indicate higher risks when driving drowsy, or when engaging in complex …

Driver drowsiness multi-method detection for vehicles with autonomous driving functions

H Beles, T Vesselenyi, A Rus, T Mitran, FB Scurt… - Sensors, 2024 - mdpi.com
… biological parameters of a driver in a multi-sensor system for drowsiness detection. The paper
… for the implementation of this driver drowsiness monitoring system in vehicles with ADAS. …

A Review of Driver Fatigue Detection and Warning Based on Multi-Information Fusion

Q Zhan, W Zhou, J Gao, W Li, X Zhang - 2020 - sae.org
… In addition to identifying fatigue state, Great Wall Harvard Fatigue Monitoring System has
corresponding control measures. When the system received an alarm, it can only be relieved if …