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Modelling visual-vestibular integration and behavioural adaptation in the driving simulator

https://doi.org/10.1016/j.trf.2019.07.018

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Modeling direction discrimination thresholds for yaw rotations around an earth-vertical axis for arbitrary motion profiles

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Self-motion sensitivity to visual yaw rotations in humans

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A review of human sensory dynamics for application to models of driver steering and speed control

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Sustained sensorimotor control as intermittent decisions about prediction errors: computational framework and application to ground vehicle steering

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A multisensory integration model of human stance control

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Visual control during straight road driving

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Corollary discharge circuits in the primate brain

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Motor primitives — new data and future questions

inferredcites →https://doi.org/10.1016/j.ifacol.2016.10.469openalex-snapshot

What Preview Elements do Drivers Need?

inferredcites →https://doi.org/10.1016/j.ifacol.2016.10.640openalex-snapshot

The Effects of Yaw and Sway Motion Cues in Curve Driving Simulation

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A tutorial on the free-energy framework for modelling perception and learning

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Computational Mechanisms of Sensorimotor Control

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Plastic Corollary Discharge Predicts Sensory Consequences of Movements in a Cerebellum-Like Circuit

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Diffusion Decision Model: Current Issues and History

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Pilot's perception in the control of aircraft motions

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The Role of Visual and Nonvisual Information in the Control of Locomotion.

inferredcites →https://doi.org/10.1037/a0020311openalex-snapshot

Neurally constrained modeling of perceptual decision making.

inferredcites →https://doi.org/10.1038/nrn3503openalex-snapshot

Bridging the gap between theories of sensory cue integration and the physiology of multisensory neurons

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Driver models in automobile dynamics application

inferredcites →https://doi.org/10.1080/00423114.2014.954589openalex-snapshot

Comparing and validating models of driver steering behaviour in collision avoidance and vehicle stabilisation

inferredcites →https://doi.org/10.1080/00423114.2015.1100748openalex-snapshot

Measurement and mathematical model of a driver's intermittent compensatory steering control

inferredcites →https://doi.org/10.1080/00423114.2017.1280172openalex-snapshot

Motion cueing in high-performance vehicle simulators

inferredcites →https://doi.org/10.1080/00423114.2017.1326615openalex-snapshot

Modelling the influence of sensory dynamics on linear and nonlinear driver steering control

inferredcites →https://doi.org/10.1098/rstb.2002.1101openalex-snapshot

Role of uncertainty in sensorimotor control

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A theory of cortical responses

inferredcites →https://doi.org/10.1109/thms.2018.2848998openalex-snapshot

Using Driver Control Models to Understand and Evaluate Behavioral Validity of Driving Simulators

inferredcites →https://doi.org/10.1109/tits.2011.2174785openalex-snapshot

Experimental Development of a New Target and Control Driver Steering Model Based on DLC Test Data

inferredcites →https://doi.org/10.1109/tsmc.2013.2242885openalex-snapshot

Motion Scaling for High-Performance Driving Simulators

inferredcites →https://doi.org/10.1146/annurev.neuro.28.061604.135709openalex-snapshot

AN INTEGRATIVE THEORY OF LOCUS COERULEUS-NOREPINEPHRINE FUNCTION: Adaptive Gain and Optimal Performance

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The Neural Basis of Decision Making

inferredcites →https://doi.org/10.1162/pres_a_00040openalex-snapshot

Driver Behavior Comparison Between Static and Dynamic Simulation for Advanced Driving Maneuvers

inferredcites →https://doi.org/10.1167/14.12.21openalex-snapshot

Future path and tangent point models in the visual control of locomotion in curve driving

inferredcites →https://doi.org/10.1177/1541931214581186openalex-snapshot

Evidence for a fundamental property of steering

inferredcites →https://doi.org/10.1201/b10836openalex-snapshot

Handbook of Driving Simulation for Engineering, Medicine, and Psychology

inferredcites →https://doi.org/10.2514/1.42843openalex-snapshot

Modeling Human Multimodal Perception and Control Using Genetic Maximum Likelihood Estimation

inferredcites →https://doi.org/10.3141/2185-07openalex-snapshot

Effect of Simulator Motion Cuing on Steering Control Performance

inferredcites →https://doi.org/10.4271/820307openalex-snapshot

The Effect of Simulator Motion on Driver Performance

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Using driver monitoring to estimate readiness in automation: a conceptual model based on simulator experimental data

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The effects of cognitive training on driving performance

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Human–machine Co-driving Control System Development and Control Algorithms of Autonomous Driving Testing Platform

inferred← citeshttps://doi.org/10.1016/j.trf.2020.09.001openalex-snapshot

Driving Simulation & Virtual Reality: Introduction to the Special issue of TRF

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The effects of physical motion cues on driving performance in older and younger adults

inferred← citeshttps://doi.org/10.1038/s41598-024-79392-1openalex-snapshot

Attentional capacity matters for visuomotor adaptation to a virtual reality driving simulator

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Ability to Process Multisensory Information Is Impaired in Open Angle Glaucoma

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A Computational Driver Model to Predict Driver Control at Unsignalised Intersections

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Investigations on Model Predictive Control Objectives for Motion Cueing Algorithms in Motorsport Driving Simulators

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A Review of Driving Simulation Technology and Applications

inferred← citeshttps://doi.org/10.1109/skima57145.2022.10029404openalex-snapshot

Vibro-vestibular Wheelchair for Vehicle Riding Experience in Immersive Virtual Reality

inferred← citeshttps://doi.org/10.1115/1.4053865openalex-snapshot

A Simulation Study of Human Sensory Dynamics and Driver–Vehicle Response

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From Disruption to Immersion: Reimagining Vehicle Motion as Environmental Feedback through Force Mappings in In-Car VR

inferred← citeshttps://doi.org/10.1371/journal.pone.0259015openalex-snapshot

Assessing the contribution of active somatosensory stimulation to self-acceleration perception in dynamic driving simulators

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Objective Evaluation of Motion Cueing Algorithms for Vehicle Driving Simulator Based on Criteria Importance through Intercriteria Correlation (CRITIC) Weight Method Combined with Gray Correlation Analysis

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High-Fidelity Interactive Motorcycle Driving Simulator with Motion Platform Equipped with Tension Sensors

inferred← citeshttps://doi.org/10.3390/vehicles2030027openalex-snapshot

Evaluation of Vehicle Ride Height Adjustments Using a Driving Simulator

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The Influence of Interior Noise on Just-Noticeable Speed Differences in Conventional and Electric Vehicles

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Development of trustworthy intelligent avatars in virtual immersion

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