Gustav Markkula | DeepAI

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∙ 05/24/2023

Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study

The development of automated vehicles has the potential to revolutionize...

0 Julian F. Schumann, et al. ∙

∙ 05/17/2023

The COMMOTIONS Urban Interactions Driving Simulator Study Dataset

Accurate modelling of road user interaction has received lot of attentio...

0 Aravinda Ramakrishnan Srinivasan, et al. ∙

∙ 04/17/2023

Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings

Predicting pedestrian behavior when interacting with vehicles is one of ...

0 Chi Zhang, et al. ∙

∙ 03/27/2023

An active inference model of car following: Advantages and applications

Driver process models play a central role in the testing, verification, ...

0 Ran Wei, et al. ∙

∙ 01/27/2023

Modeling human road crossing decisions as reward maximization with visual perception limitations

Understanding the interaction between different road users is critical f...

0 Yueyang Wang, et al. ∙

∙ 01/25/2023

Deconstructing Pedestrian Crossing Decision-making in Interactions with Continuous Traffic: an Anthropomorphic Model

As safe and comfortable interactions with pedestrians could contribute t...

0 Kai Tian, et al. ∙

∙ 06/22/2022

Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?

Autonomous vehicles use a variety of sensors and machine-learned models ...

0 Aravinda Ramakrishnan Srinivasan, et al. ∙

∙ 02/12/2022

How accurate models of human behavior are needed for human-robot interaction? For automated driving?

There are many examples of cases where access to improved models of huma...

0 Gustav Markkula, et al. ∙

∙ 10/21/2021

A Utility Maximization Model of Pedestrian and Driver Interactions

Many models account for the traffic flow of road users but few take the ...

0 Yi-Shin Lin, et al. ∙

∙ 04/29/2021

Maneuver-Aware Pooling for Vehicle Trajectory Prediction

Autonomous vehicles should be able to predict the future states of its e...

0 Mohamed Hasan, et al. ∙

∙ 04/22/2021

Maneuver-based Anchor Trajectory Hypotheses at Roundabouts

Predicting future behavior of the surrounding vehicles is crucial for se...

0 Mohamed Hasan, et al. ∙

∙ 04/21/2021

Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model

There is quickly growing literature on machine-learned models that predi...

0 Aravinda Ramakrishnan Srinivasan, et al. ∙

∙ 03/26/2020

Pedestrian Models for Autonomous Driving Part II: high level models of human behaviour

Autonomous vehicles (AVs) must share space with human pedestrians, both ...

0 Fanta Camara, et al. ∙

∙ 12/07/2018

An Objective Assessment of the Utility of a Driving Simulator for Low Mu Testing

Driving simulators can be used to test vehicle designs earlier, prior to...

0 Richard Romano, et al. ∙

∙ 10/29/2018

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

It is well established that not only vision but also other sensory modal...

0 Gustav Markkula, et al. ∙

∙ 03/08/2017

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

A conceptual and computational framework is proposed for modelling of hu...

0 Gustav Markkula, et al. ∙

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