Driver eye location and state estimation based on a robust model and data augmentation
Y Ling, R Luo, X Dong, X Weng - IEEE Access, 2021 - ieeexplore.ieee.org
Eye state evaluation is crucial for vision-based driver fatigue detection. With the outbreak of
COVID-19, many proposed models for eye location and state evaluation based on facial …
COVID-19, many proposed models for eye location and state evaluation based on facial …
Smartphone‐based fatigue detection system using progressive locating method
Z Li, G Sun, F Zhang, L Jia, K Zheng… - IET Intelligent Transport …, 2016 - Wiley Online Library
Smartphone applications became very popular nowadays as they provide useful
functionalities to our daily lives over ordinary voice services. They offer a small but powerful …
functionalities to our daily lives over ordinary voice services. They offer a small but powerful …
Improved dense residual network with the coordinate and pixel attention mechanisms for helmet detection
J Mi, J Luo, H Zhao, X Huang - International Journal of Machine Learning …, 2024 - Springer
Helmet detection in road surveillance images has become increasingly important with the
increasing number of accidents involving two-wheeled electric vehicles and motorcycles …
increasing number of accidents involving two-wheeled electric vehicles and motorcycles …
Efficient and Robust Driver Fatigue Detection Framework Based on the Visual Analysis of Eye States
Y Ling, X Weng - Promet-Traffic&Transportation, 2023 - hrcak.srce.hr
Sažetak Fatigue detection based on vision is widely employed in vehicles due to its real-
time and reliable detection results. With the coronavirus disease (COVID-19) outbreak, many …
time and reliable detection results. With the coronavirus disease (COVID-19) outbreak, many …
Time sensitivity and self-organisation in multi-recurrent neural networks
O Orojo, J Tepper, TM McGinnity… - 2020 International Joint …, 2020 - ieeexplore.ieee.org
Model optimisation is a key step in model development and traditionally this was limited to
parameter tuning. However, recent developments and enhanced understanding of internal …
parameter tuning. However, recent developments and enhanced understanding of internal …
Measuring the accuracy levels regarding the dual business function criticality classifier
A Podaras - IEEE Access, 2018 - ieeexplore.ieee.org
This paper illustrates the most recent results regarding the criticality ranking decision
support classifier for an individual business function. The validated classifier is part of the …
support classifier for an individual business function. The validated classifier is part of the …
Driver fatigue detection system based on DSP platform
Z Li, F Zhang, G Sun, D Zhao, K Zheng - … 2016, Miami, FL, USA, January 4 …, 2016 - Springer
Due to non-invasiveness, monitoring driver state in computer vision (CV) has become a
major way to detect driver fatigue. In contrast to other researches, we brought the driver …
major way to detect driver fatigue. In contrast to other researches, we brought the driver …