%0 Generic %A Schumann, Julian %D 2022 %T Data and Results for the Benchmark of Gap Acceptance Models %U https://data.4tu.nl/articles/dataset/Data_and_Results_for_the_Benchmark_of_Gap_Acceptance_Models/21334548/2 %R 10.4121/21334548.v2 %K Benchmark %K Gap acceptance %K Autonomous Vehicles %K Human behavior prediction %K Prediction model %K robust AI %X

This dataset allows the addition of the missing parts of the framework for benchmarking gap accetpance models (https://github.com/julianschumann/Framework-for-benchmarking-gap-acceptance). This are:

- The raw data of the CoR dataset

- The results at every stage of the framework for the implemented modules. The results shown in the corresponding paper are based thereon.


The information on how to include this data in the corresponding code base can be found on the github project README

%I 4TU.ResearchData