%0 Computer Program
%A Siebinga, Olger
%A Zgonnikov, Arkady
%A Abbink, D.A. (David)
%D 2021
%T Code accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human approach”
%U https://data.4tu.nl/articles/software/Code_accompanying_the_paper_Validating_human_driver_models_for_interaction-aware_automated_vehicle_controllers_A_human_approach_/16847203/1
%R 10.4121/16847203.v1
%K driver model validation
%K interaction-aware controllers
%K inverse-reinforcement-learning driver-model
%K automated driving
%X 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
%I 4TU.ResearchData