Data and Results for the Benchmark of Gap Acceptance Models

doi: 10.4121/21334548.v3
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21334548
Datacite citation style:
Julian Schumann (2022): Data and Results for the Benchmark of Gap Acceptance Models. Version 3. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
choose version:
version 3 - 2022-12-05 (latest)
version 2 - 2022-10-26 version 1 - 2022-10-17

This dataset allows the addition of the missing parts of the framework for benchmarking gap accetpance models ( 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

  • 2022-10-17 first online
  • 2022-12-05 published, posted
Two .zip files, including *.csv and *.npy files
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of Cognitive Robotics


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