Published December 14, 2022 | Version v1.0

Validation Videos and eXplainable levels used in the Validation of the Conflict Detection and Resolution Use Case (ARTIMATION)

  • 1. Ecole Nationale de l'Aviation Civile

Description

This dataset contains the explaination levels and the video used in the validation of the Conflict Detection and Resolution (CD&R) use case.

The solution are computed by a Genetic Algorithm developped by Nicolas Durand.

Inside the dataset, one can find:

-One archive, " Validation_Videos_Traffic.zip ", containing the video of traffic of every scenario.

-One archive, " Validation_XAI_levels.zip", containing the Blackbox, Heatmap, and Storyboard eXplainable levels for each scenario.

The videos and XAI levels are used in the validation exercice.

Files

Validation_Videos_Traffic.zip

Files (294.4 MB)

Name Size Download all
md5:3d0047e9eeff5afe52643b6ec8e4623b
181.8 MB Preview Download
md5:8b78ac0e0e4cef3c9f22d22042ff511c
112.6 MB Preview Download

Additional details

Related works

Is supplement to
Dataset: 10.5281/zenodo.7437564 (DOI)
Dataset: 10.5281/zenodo.7437654 (DOI)
Dataset: 10.5281/zenodo.7437777 (DOI)

Funding

European Commission
ARTIMATION - TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS 894238