Richard Romano | DeepAI

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∙ 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. ∙

∙ 12/15/2022

Multi-level and multi-modal feature fusion for accurate 3D object detection in Connected and Automated Vehicles

Aiming at highly accurate object detection for connected and automated v...

0 Yiming Hou, 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. ∙

∙ 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. ∙

∙ 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...

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