A survey on driver behavior analysis from in-vehicle cameras
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 …
every year. Studying driver behavior has challenges associated with observing drivers in …
A survey on vision-based driver distraction analysis
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 …
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
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 …
handheld mobile devices which utilise gaze as a single or complementary interaction …
Real-time multi-task facial analytics with event cameras
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 …
changes in light intensity on a per-pixel basis. This unique technology offers numerous …
Cascade learning for driver facial monitoring
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 …
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
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 …
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 …
the Advanced Driver Assistance Systems and the Automated Driving Systems. Existing …
[HTML][HTML] An efficient multi-task learning CNN for driver attention monitoring
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 …
vehicle safety system that can monitor driver attentiveness and trigger timely alarms when …
Re-thinking mixed-criticality architecture for automotive industry
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 …
is proving difficulty to implement in industry as the theoretical models underpinning the …
Post-training quantization for re-parameterization via coarse & fine weight splitting
Although neural networks have made remarkable advancements in various applications,
they require substantial computational and memory resources. Network quantization is a …
they require substantial computational and memory resources. Network quantization is a …