SoftwareApplication
identifier: 10.4121/16847203
name: Code accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human approach”
description: Code accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human approach”
description: 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
author: https://orcid.org/0000-0002-5614-1262
author: Person
  given name: Arkady
  family name: Zgonnikov
  name: Arkady Zgonnikov
author: https://orcid.org/0000-0001-7778-0090
keywords: automated driving
keywords: interaction-aware controllers
keywords: driver model validation
keywords: inverse-reinforcement-learning driver-model
license:
  creative work: creativeWork
    name: GPL-3.0-only

https://orcid.org/0000-0002-5614-1262
type: Person
given name: Olger
family name: Siebinga
name: Olger Siebinga

https://orcid.org/0000-0001-7778-0090
type: Person
given name: D.A. (David)
family name: Abbink
name: D.A. (David) Abbink