Toward a theory of visual information acquisition in driving
Objective The aim of this study is to describe information acquisition theory, explaining how
drivers acquire and represent the information they need. Background While questions of …
drivers acquire and represent the information they need. Background While questions of …
Towards a context-dependent multi-buffer driver distraction detection algorithm
This paper presents initial work on a context-dependent driver distraction detection
algorithm called AttenD2. 0, which extends the original AttenD algorithm with elements from …
algorithm called AttenD2. 0, which extends the original AttenD algorithm with elements from …
Road Hazard Stimuli: Annotated naturalistic road videos for studying hazard detection and scene perception
Driving requires vision, yet there is little empirical data about how vision and cognition
support safe driving. It is difficult to study perception during natural driving because the …
support safe driving. It is difficult to study perception during natural driving because the …
Sensor fusion to connect gaze fixation with dynamic driving context for driver attention management
Objective The paper aims to integrate interior and exterior sensing signals to explore gaze-
context connections for more context-aware driver attention management. Background …
context connections for more context-aware driver attention management. Background …
See-through a vehicle: Augmenting road safety information using visual perception and camera communication in vehicles
In this paper, we present the design, implementation and evaluation of non-line-of-sight
(NLOS) perception to achieve a virtual see-through functionality for road vehicles. In this …
(NLOS) perception to achieve a virtual see-through functionality for road vehicles. In this …
Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate
Prediction of future sensory input based on past sensory information is essential for
organisms to effectively adapt their behavior in dynamic environments. Humans successfully …
organisms to effectively adapt their behavior in dynamic environments. Humans successfully …
Highly dangerous road hazards are not immune from the low prevalence effect
The low prevalence effect (LPE) is a cognitive limitation commonly found in visual search
tasks, in which observers miss rare targets. Drivers looking for road hazards are also subject …
tasks, in which observers miss rare targets. Drivers looking for road hazards are also subject …
Video prediction for driving scenes with a memory differential motion network model
C Li, X Chen - Applied Intelligence, 2023 - Springer
Accurate video prediction is critical for human drivers and self-driving cars to make informed
decisions. To overcome the limitations of existing deep learning-based video prediction …
decisions. To overcome the limitations of existing deep learning-based video prediction …
Impact of temporary browsing restrictions on drivers' situation awareness when interacting with in-vehicle infotainment systems
J Meyer, E Llaneras, GM Fitch - Safety, 2022 - mdpi.com
Looking away from the road during a task degrades situation awareness of potential
hazards. Long glances back to the road rebuild this awareness and are thought to be critical …
hazards. Long glances back to the road rebuild this awareness and are thought to be critical …
Drivers' Attention to Preview and Its Momentary Persistence
Participants used a position control system to track the center of a simulated winding
roadway with preview that ranged from 0.3 to 1.0 s. Participants' spatial distributions of …
roadway with preview that ranged from 0.3 to 1.0 s. Participants' spatial distributions of …