Published September 10, 2021 | Version v1
Video/Audio Open

Drones' footage of a search-and-rescue exercise scenario

  • 1. KIOS Research and Innovation Center of Excellence, University of Cyprus

Description

This dataset is collected during a search-and-rescue exercise scenario in the framework of the ARTION project.

The operation took place on the 11th of April 2021 in an abandoned village (Vretsia) in Paphos district, in Cyprus. The exercise scenario was the following: After a tornado, seven campers who were in the village at the time of the tornado are reported as missing. Some of them are injured. The operations included: establishment and operation of an emergency operation center, first aid station, and drone operation center.

For the search-and-rescue operations two rescue teams, a first responder with a rescue dog and a drone were deployed.

  1. The rescue dog detects a person. A lightly injured woman is searched and found. The medic team rushes to help and finally accompanies the person to the operation center/first aid station.
  2. A victim is identified by the drone and rescued by the Medic Team.
  3. The Rescue Team #1 founds an unconscious male and the Medic Team rushes to the rescue.
  4. The Rescue Team #2 founds an injured female person and the Medic Team rushes to the rescue.
  5. Another person is identified by the drone and rescued by the Medic Team.
  6. The Rescue Team #1 founds a lightly injured female person and accompanies her to the first aid station.
  7. The Rescue Team #2 founds a lightly injured female person and accompanies her to the first aid station.

The exercise was organized and conducted by the Cyprus Civil Defence and data collection was performed by the KIOS Research and Innovation Center of Excellence of the University of Cyprus.

The dataset consists of raw video files (.mp4) captured by drones.

Notes

The project has received funding from the European Union's Call for proposals in the field of Civil Protection under the Union Civil Protection Knowledge Network under grant agreement 101017763.

Files

DJI_0064.MP4

Files (33.6 GB)

Name Size Download all
md5:edcf11966008b0cd6a1c3492bd860060
3.8 GB Preview Download
md5:3f580c5d8845a8cb3f7069800eab66c8
3.8 GB Preview Download
md5:58795246fec7ff8e8bd064c90faa0824
897.5 MB Preview Download
md5:c2ed87211d593cb1cccaffb1e906f3b6
3.8 GB Preview Download
md5:89ca6d956d666e610168ce60f3abd8dc
3.8 GB Preview Download
md5:37fa7f827798a11070fb7d8b61951a04
3.2 GB Preview Download
md5:457586820eacbe7397f6a7dbe9836218
3.8 GB Preview Download
md5:87a0e7c0cab52612c0d0b5102552949d
3.8 GB Preview Download
md5:5e7ea8924dca007c6a60cffba1cbf144
3.3 GB Preview Download
md5:2533c18f660439e9f714300bfa479bb0
3.6 GB Preview Download

Additional details

Related works

Is supplemented by
Dataset: 10.5281/zenodo.5498327 (DOI)