Investigating explanations in conditional and highly automated driving: The effects of situation awareness and modality
With the level of automation increases in vehicles, such as conditional and highly automated
vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in …
vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in …
Predicting driver takeover time in conditionally automated driving
It is extremely important to ensure a safe takeover transition in conditionally automated
driving. One of the critical factors that quantifies the safe takeover transition is takeover time …
driving. One of the critical factors that quantifies the safe takeover transition is takeover time …
Predicting driver fatigue in monotonous automated driving with explanation using GPBoost and SHAP
Research indicates that monotonous automated driving increases the incidence of fatigued
driving. Although many prediction models based on advanced machine learning techniques …
driving. Although many prediction models based on advanced machine learning techniques …
Disengagement cause-and-effect relationships extraction using an nlp pipeline
The advancement in machine learning and artificial intelligence promotes the testing and
deployment of autonomous vehicles (AVs) on public roads. The California Department of …
deployment of autonomous vehicles (AVs) on public roads. The California Department of …
Eye‐Tracking‐Based Prediction of User Experience in VR Locomotion Using Machine Learning
VR locomotion is one of the most important design features of VR applications and is widely
studied. When evaluating locomotion techniques, user experience is usually the first …
studied. When evaluating locomotion techniques, user experience is usually the first …
Understanding Driver's Situation Awareness in Highly Automated Driving
This study investigated the influence of road complexity and lead time on driver's situation
awareness with three consecutive experiments. 7 participants were asked to watch …
awareness with three consecutive experiments. 7 participants were asked to watch …
Exploring the impact of the takeover time for conditionally automated driving vehicles on traffic flow in highway merging area
Q Liu, J Liu, Y Cai, L Chen - IEEE transactions on intelligent …, 2022 - ieeexplore.ieee.org
Human-machine handover of conditionally automated driving vehicles (CADVs) significantly
affects traffic safety. Therefore, a simulation modeling was conducted for the traffic flow …
affects traffic safety. Therefore, a simulation modeling was conducted for the traffic flow …
[PDF][PDF] Quantifying Drivers' Physiological Responses to Take-Over Requests in Conditionally Automated Vehicles.
Before the introduction of fully autonomous vehicles with all their benefits and positive
impact on quality of life (eg, increased mobility options, reduced carbon footprint, road …
impact on quality of life (eg, increased mobility options, reduced carbon footprint, road …
Advanced ensemble deep random vector functional link for eye-tracking-based situation awareness recognition
Situation awareness (SA) plays a significant role in takeover transitions from autonomous to
manual driving. Previous researchers have shown that eye movement signals can be used …
manual driving. Previous researchers have shown that eye movement signals can be used …
[PDF][PDF] Testing unfinished automated driving technology on public roads: Results from interviews with participants of Tesla's Full-Self Driving (FSD) Beta
ABSTRACT Tesla's Full Self-Driving Beta (FSD) program introduces technology that extends
the operational design domain of standard Autopilot from highways to urban roads. This …
the operational design domain of standard Autopilot from highways to urban roads. This …