A survey on driver behavior analysis from in-vehicle cameras

J Wang, W Chai, A Venkatachalapathy… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Distracted or drowsy driving is unsafe driving behavior responsible for thousands of crashes
every year. Studying driver behavior has challenges associated with observing drivers in …

A survey on vision-based driver distraction analysis

W Li, J Huang, G **e, F Karray, R Li - Journal of Systems Architecture, 2021 - Elsevier
Motor vehicle crashes are great threats to our life, which may result in numerous fatalities, as
well as tremendous economic and societal costs. Driver inattention, either distraction or …

An end-to-end review of gaze estimation and its interactive applications on handheld mobile devices

Y Lei, S He, M Khamis, J Ye - ACM Computing Surveys, 2023 - dl.acm.org
In recent years, we have witnessed an increasing number of interactive systems on
handheld mobile devices which utilise gaze as a single or complementary interaction …

Real-time multi-task facial analytics with event cameras

C Ryan, A Elrasad, W Shariff, J Lemley, P Kielty… - IEEE …, 2023 - ieeexplore.ieee.org
Event cameras, unlike traditional frame-based cameras, excel in detecting and reporting
changes in light intensity on a per-pixel basis. This unique technology offers numerous …

Cascade learning for driver facial monitoring

C Gou, Y Zhou, Y **ao, X Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a non-invasive method, vision-based driver monitoring aims to identify risky maneuvers
for intelligent vehicles and it has gained an increasing interest over recent years. However …

AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control

C Englund, EE Aksoy, F Alonso-Fernandez… - Smart Cities, 2021 - mdpi.com
Smart cities and communities (SCC) constitute a new paradigm in urban development. SCC
ideate a data-centered society aimed at improving efficiency by automating and optimizing …

Self-calibrated driver gaze estimation via gaze pattern learning

G Yuan, Y Wang, H Yan, X Fu - Knowledge-Based Systems, 2022 - Elsevier
Driver's eye gaze is regarded as an important clue for evaluating the driver's awareness in
the Advanced Driver Assistance Systems and the Automated Driving Systems. Existing …

[HTML][HTML] An efficient multi-task learning CNN for driver attention monitoring

D Yang, Y Wang, R Wei, J Guan, X Huang… - Journal of Systems …, 2024 - Elsevier
Abstract Driver Monitoring System (DMS), usually equipped with a camera, is an emerging
vehicle safety system that can monitor driver attentiveness and trigger timely alarms when …

Re-thinking mixed-criticality architecture for automotive industry

Z Jiang, S Zhao, P Dong, D Yang, R Wei… - 2020 IEEE 38th …, 2020 - ieeexplore.ieee.org
Mixed-Criticality System (MCS) has been considered widely within academic literature, but
is proving difficulty to implement in industry as the theoretical models underpinning the …

Post-training quantization for re-parameterization via coarse & fine weight splitting

D Yang, N He, X Hu, Z Yuan, J Yu, C Xu… - Journal of Systems …, 2024 - Elsevier
Although neural networks have made remarkable advancements in various applications,
they require substantial computational and memory resources. Network quantization is a …