Data and Results for the Benchmark of Gap Acceptance Models

Datacite citation style:
Julian Schumann (2022): Data and Results for the Benchmark of Gap Acceptance Models. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/21334548.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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 (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

history
  • 2022-10-17 first online
  • 2022-10-26 published, posted
publisher
4TU.ResearchData
format
Two .zip files, including *.csv and *.npy files
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of Cognitive Robotics

DATA

files (2)