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Virtual reality in transportation and logistics: A clustering analysis of studies from 2010 to 2023 and future directions
EYC Wong, PTY Lee - Computers in Human Behavior, 2024 - Elsevier
Numerous studies have examined the utility of virtual reality (VR) technologies in the
transportation and logistics sector. However, no systematic and comprehensive review of …
transportation and logistics sector. However, no systematic and comprehensive review of …
When brain-computer interfaces meet the metaverse: Landscape, demonstrator, trends, challenges, and concerns
The metaverse has gained tremendous popularity in recent years, allowing the
interconnection of users worldwide. However, current systems in metaverse scenarios, such …
interconnection of users worldwide. However, current systems in metaverse scenarios, such …
Adaptivevoice: Cognitively adaptive voice interface for driving assistance
Current voice assistants present messages in a predefined format without considering users'
mental states. This paper presents an optimization-based approach to alleviate this issue …
mental states. This paper presents an optimization-based approach to alleviate this issue …
How does simulation-based testing for self-driving cars match human perception?
C Birchler, TK Mohammed, P Rani, T Nechita… - Proceedings of the …, 2024 - dl.acm.org
Software metrics such as coverage or mutation scores have been investigated for the
automated quality assessment of test suites. While traditional tools rely on software metrics …
automated quality assessment of test suites. While traditional tools rely on software metrics …
Insertion of real agents behaviors in CARLA autonomous driving simulator
Gaze supervision for mitigating causal confusion in driving agents
Imitation Learning (IL) algorithms such as behavior cloning are a promising direction for
learning human-level driving behavior. However, these approaches do not explicitly infer the …
learning human-level driving behavior. However, these approaches do not explicitly infer the …
Characterizing drivers' peripheral vision via the functional field of view for intelligent driving assistance
Many intelligent driver assistance algorithms try to improve on-road safety by using driver
eye gaze, commonly using foveal gaze as an estimate of human attention. While human …
eye gaze, commonly using foveal gaze as an estimate of human attention. While human …
[PDF][PDF] JOAN: A framework for human-automated vehicle interaction experiments in a virtual reality driving simulator
N Beckers, O Siebinga, J Giltay… - Journal of Open Source …, 2023 - joss.theoj.org
With the rapid development of automated driving systems, human drivers will soon have to
share the road, and interact with, autonomous vehicles (AVs). To design AVs that can be …
share the road, and interact with, autonomous vehicles (AVs). To design AVs that can be …
Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance
Intelligent driving assistance can alert drivers to objects in their environment; however, such
systems require a model of drivers' situational awareness (SA)(what aspects of the scene …
systems require a model of drivers' situational awareness (SA)(what aspects of the scene …
Experimenting with an Efficient Driver Behaviour Dynamical Model Applicable to Simulated Lane Changing Tasks
M Jirgl, O Mihálik, S Boujenfa, Z Bradáč… - IEEE Access, 2024 - ieeexplore.ieee.org
We test an approach to modelling the car driver behaviour during simulated lane changing
tasks, aiming to obtain a sufficiently precise model in the simplest possible form, namely …
tasks, aiming to obtain a sufficiently precise model in the simplest possible form, namely …