Julian Schumann (2022): Data and Results for the Benchmark of Gap Acceptance Models. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21334548.v1

Version 3 - 2022-12-05 (latest) Version 2 - 2022-10-26

Usage statistics

Categories

• Ground Transport

Keywords

Autonomous Vehicles Benchmark Gap acceptance Human behavior prediction Prediction model robust AI

Licence

CC0

Interoperability

• RO-Crate Metadata

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by Julian Schumann

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, published, posted

Publisher

4TU.ResearchData

Format

Two .zip files, including *.csv and *.npy files

References

• https://github.com/julianschumann/Framework-for-benchmarking-gap-acceptance

Organizations

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of Cognitive Robotics