Data and Results for the Benchmark of Gap Acceptance Models

dataset

posted on 2022-12-05, 09:46 authored by Julian SchumannJulian 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

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

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Keywords

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

Licence

CC0