The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications
Despite an abundant use of the term “Out of the loop”(OOTL) in the context of automated
driving and human factors research, there is currently a lack of consensus on its precise …
driving and human factors research, there is currently a lack of consensus on its precise …
Do autonomous vehicles drive like humans? A Turing approach and an application to SAE automation Level 2 cars
Fully automated vehicles (AVs) are set to become a reality in future decades and changes
are to be expected in user perceptions and behavior. While AV acceptability has been …
are to be expected in user perceptions and behavior. While AV acceptability has been …
Automation transparency: implications of uncertainty communication for human-automation interaction and interfaces
Operators of highly automated driving systems may exhibit behaviour characteristic for
overtrust issues due to an insufficient awareness of automation fallibility. Consequently …
overtrust issues due to an insufficient awareness of automation fallibility. Consequently …
[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 …
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 automated statistical partial discharge source classification using pattern recognition techniques
H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …
discharge (PD) source identification and probabilistic interpretation of the classification …
Deep cnn, body pose, and body-object interaction features for drivers' activity monitoring
Automatic recognition and prediction of in-vehicle human activities has a significant impact
on the next generation of driver assistance and intelligent autonomous vehicles. In this …
on the next generation of driver assistance and intelligent autonomous vehicles. In this …
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 …
Getting back into the loop: the perceptual-motor determinants of successful transitions out of automated driving
Objective: To present a structured, narrative review highlighting research into human
perceptual-motor coordination that can be applied to automated vehicle (AV)–human …
perceptual-motor coordination that can be applied to automated vehicle (AV)–human …
Conveying uncertainties using peripheral awareness displays in the context of automated driving
As a consequence of insufficient situation awareness and inappropriate trust, operators of
highly automated driving systems may be unable to safely perform takeovers following …
highly automated driving systems may be unable to safely perform takeovers following …