Gustav Markkula
Orcid: 0000-0003-0244-1582Affiliations:
- University of Leeds, Institute for Transport Studies, UK
- Volvo Technology Corp., Goteborg, Sweden
- Chalmers University of Technology, Department of Applied Mechanics, Gothenburg, Sweden
According to our database1,
Gustav Markkula
authored at least 44 papers
between 2007 and 2024.
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Bibliography
2024
Int. J. Hum. Comput. Stud., March, 2024
Should I Stay or Should I Go? Cognitive Modeling of Left-Turn Gap Acceptance Decisions in Human Drivers.
Hum. Factors, 2024
Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception.
CoRR, 2024
2023
Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior?
IEEE Trans. Intell. Transp. Syst., 2023
Driver-Pedestrian Interactions at Unsignalized Crossings Are Not in Line With the Nash Equilibrium.
IEEE Access, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Modeling human road crossing decisions as reward maximization with visual perception limitations.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023
2022
How accurate models of human behavior are needed for human-robot interaction? For automated driving?
CoRR, 2022
IEEE Access, 2022
World Model Learning from Demonstrations with Active Inference: Application to Driving Behavior.
Proceedings of the Active Inference - Third International Workshop, 2022
Decision Model for Pedestrian Interacting with Traffic at Uncontrolled Intersections.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior.
IEEE Trans. Intell. Transp. Syst., 2021
Accumulation of continuously time-varying sensory evidence constrains neural and behavioral responses in human collision threat detection.
PLoS Comput. Biol., 2021
Road users rarely use explicit communication when interacting in today's traffic: implications for automated vehicles.
Cogn. Technol. Work., 2021
Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
How Do Drivers Respond to Silent Automation Failures? Driving Simulator Study and Comparison of Computational Driver Braking Models.
Hum. Factors, 2020
Pedestrian Models for Autonomous Driving Part II: high level models of human behaviour.
CoRR, 2020
Creating Kinematics-dependent Pedestrian Crossing Willingness Model When Interacting with Approaching Vehicle.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
Getting Back Into the Loop: The Perceptual-Motor Determinants of Successful Transitions out of Automated Driving.
Hum. Factors, 2019
Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures.
Hum. Factors, 2019
Methodologies to Understand the Road User Needs When Interacting with Automated Vehicles.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2019
At the Zebra Crossing: Modelling Complex Decision Processes with Variable-Drift Diffusion Models.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2019
2018
Using Driver Control Models to Understand and Evaluate Behavioral Validity of Driving Simulators.
IEEE Trans. Hum. Mach. Syst., 2018
CoRR, 2018
Modelling visual-vestibular integration and behavioural adaptation in the driving simulator.
CoRR, 2018
Sustained sensorimotor control as intermittent decisions about prediction errors: computational framework and application to ground vehicle steering.
Biol. Cybern., 2018
When Should the Chicken Cross the Road? - Game Theory for Autonomous Vehicle - Human Interactions.
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018
Evidence Accumulation Account of Human Operators' Decisions in Intermittent Control During Inverted Pendulum Balancing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
Hum. Factors, 2017
Validation of driving behaviour as a step towards the investigation of Connected and Automated Vehicles by means of driving simulators.
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017
2015
Improving yaw stability control in severe instabilities by means of a validated model of driver steering.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015
2012
2011
Proceedings of the Digital Human Modeling, 2011
Proceedings of the Universal Access in Human-Computer Interaction. Context Diversity, 2011
2010
Towards the Automotive HMI of the Future: Overview of the AIDE-Integrated Project Results.
IEEE Trans. Intell. Transp. Syst., 2010
2007
Proceedings of the International Conference on Image Processing, 2007