[HTML][HTML] A model for naturalistic glance behavior around Tesla Autopilot disengagements
Objective We present a model for visual behavior that can simulate the glance pattern
observed around driver-initiated, non-critical disengagements of Tesla's Autopilot (AP) in …
observed around driver-initiated, non-critical disengagements of Tesla's Autopilot (AP) in …
[HTML][HTML] Glass half-full: On-road glance metrics differentiate crashes from near-crashes in the 100-Car data
Background Much of the driver distraction and inattention work to date has focused on
concerns over drivers removing their eyes from the forward roadway to perform non-driving …
concerns over drivers removing their eyes from the forward roadway to perform non-driving …
Detection of brake lights while distracted: Separating peripheral vision from cognitive load
Drivers rarely focus exclusively on driving, even with the best of intentions. They are
distracted by passengers, navigation systems, smartphones, and driver assistance systems …
distracted by passengers, navigation systems, smartphones, and driver assistance systems …
How safe is tuning a radio?: using the radio tuning task as a benchmark for distracted driving
Drivers engage in non-driving tasks while driving, such as interactions entertainment
systems. Studies have identified glance patterns related to such interactions, and manual …
systems. Studies have identified glance patterns related to such interactions, and manual …
Systems and methods for providing visual allocation management
Systems and methods for managing visual allocation are provided herein that use models to
determine states based on visual data and, based thereon, output feedback based on the …
determine states based on visual data and, based thereon, output feedback based on the …
Exploratory development of algorithms for determining driver attention status
E Herbers, M Miller, L Neurauter, J Walters… - Human …, 2024 - journals.sagepub.com
Objective Varying driver distraction algorithms were developed using vehicle kinematics and
driver gaze data obtained from a camera-based driver monitoring system (DMS) …
driver gaze data obtained from a camera-based driver monitoring system (DMS) …
Determining the risk of driver-at-fault events associated with common distraction types using naturalistic driving data
Introduction: Studies thus far have focused on automobile accidents that involve driver
distraction. However, it is hard to discern whether distraction played a role if fault …
distraction. However, it is hard to discern whether distraction played a role if fault …
Assessment of secondary tasks based on drivers' eye-movement features
Y Yao, X Zhao, X Feng, J Rong - IEEE Access, 2020 - ieeexplore.ieee.org
Risk assessment of in-vehicle devices is an important part of the study of distracted driving.
In this study, a visual distraction assessment method was formulated based on the AttenD …
In this study, a visual distraction assessment method was formulated based on the AttenD …
Patterns in transitions of visual attention during baseline driving and during interaction with visual–manual and voice-based interfaces
Voice interfaces reduce visual demand compared with visual-manual interfaces, but the
extent depends on design. This study compared visual demand during baseline driving with …
extent depends on design. This study compared visual demand during baseline driving with …
Systems and methods for using an attention buffer to improve resource allocation management
Systems and methods for assessing resource allocation are provided. In some exemplary
embodiments, the system uses an attention buffer to classify glances by a person and/or …
embodiments, the system uses an attention buffer to classify glances by a person and/or …