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DOI: 10.4121/16847203

Olger Siebinga; Zgonnikov, Arkady; Abbink, D.A. (David) (2021): Code accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human approach”. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/16847203.v1

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Categories

• Mechanical Engineering
• Other Engineering
• Automotive Engineering

Keywords

automated driving driver model validation interaction-aware controllers inverse-reinforcement-learning driver-model

Licence

GPL-3.0

Interoperability

• RO-Crate Metadata

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by Olger Siebinga , Arkady Zgonnikov, D.A. (David) Abbink

This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach - Siebinga, Zgonnikov & Abbink 2021" and should be used in combination with TraViA, a program for traffic data visualization and annotation. A preprint of this paper can be found on arxiv: https://arxiv.org/abs/2109.13077

History

• 2021-10-22 first online, published, posted

Publisher

4TU.ResearchData

Format

.py; .md

References

• https://github.com/tud-hri/irlmodelvalidation
• https://arxiv.org/abs/2109.13077

Organizations

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering