A systematic review of virtual reality applications for automated driving: 2009–2020
While virtual reality (VR) interfaces have been researched extensively over the last decades,
studies on their application in vehicles have only recently advanced. In this paper, we …
studies on their application in vehicles have only recently advanced. In this paper, we …
Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open …
Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …
detect driver inattention is essential in building a safe yet intelligent transportation system …
External human-machine interfaces on automated vehicles: Effects on pedestrian crossing decisions
K De Clercq, A Dietrich, JP Núñez Velasco… - Human …, 2019 - journals.sagepub.com
Objective: In this article, we investigated the effects of external human-machine interfaces
(eHMIs) on pedestrians' crossing intentions. Background: Literature suggests that the safety …
(eHMIs) on pedestrians' crossing intentions. Background: Literature suggests that the safety …
Determinants of take-over time from automated driving: A meta-analysis of 129 studies
An important question in automated driving research is how quickly drivers take over control
of the vehicle in response to a critical event or a take-over request. Although a large number …
of the vehicle in response to a critical event or a take-over request. Although a large number …
The more you know: trust dynamics and calibration in highly automated driving and the effects of take-overs, system malfunction, and system transparency
Objective This paper presents a theoretical model and two simulator studies on the
psychological processes during early trust calibration in automated vehicles. Background …
psychological processes during early trust calibration in automated vehicles. Background …
Take-over again: Investigating multimodal and directional TORs to get the driver back into the loop
When a highly automated car reaches its operational limits, it needs to provide a take-over
request (TOR) in order for the driver to resume control. The aim of this simulator-based study …
request (TOR) in order for the driver to resume control. The aim of this simulator-based study …
Automated driving reduces perceived workload, but monitoring causes higher cognitive load than manual driving
Driver mental workload is an important factor in the operational safety of automated driving.
In this study, workload was evaluated subjectively (NASA R-TLX) and objectively (auditory …
In this study, workload was evaluated subjectively (NASA R-TLX) and objectively (auditory …
Secondary task engagement and vehicle automation–Comparing the effects of different automation levels in an on-road experiment
F Naujoks, C Purucker, A Neukum - … research part F: traffic psychology and …, 2016 - Elsevier
Recent and upcoming advances in vehicle automation are likely to change the role of the
driver from one of actively controlling a vehicle to one of monitoring the behaviour of an …
driver from one of actively controlling a vehicle to one of monitoring the behaviour of an …
Driver distraction using visual-based sensors and algorithms
Driver distraction, defined as the diversion of attention away from activities critical for safe
driving toward a competing activity, is increasingly recognized as a significant source of …
driving toward a competing activity, is increasingly recognized as a significant source of …
Transition to manual: Comparing simulator with on-road control transitions
Background Whilst previous research has explored how driver behaviour in simulators may
transfer to the open road, there has been relatively little research showing the same transfer …
transfer to the open road, there has been relatively little research showing the same transfer …