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Titel:

Analyzing Real-time Video Delivery over Cellular Networks for Remote Piloting Aerial Vehicles

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
06.10.2022
Verantwortlich:
Cech, Hendrik
Autorinnen / Autoren:
Baltaci, Aygün ; Cech, Hendrik ; Mohan, Nitinder ; Geyer, Fabien ; Bajpai, Vaibhav ; Ott, Jörg ; Schupke, Dominic
Institutionszugehörigkeit:
TUM; Airbus
Herausgeber:
TUM
Identifikator:
doi:10.14459/2022mp1687221
Enddatum der Datenerzeugung:
23.03.2022
Fachgebiet:
DAT Datenverarbeitung, Informatik
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations; Logfiles und Nutzungsdaten / log files and usage data
Datentyp:
Video-Aufzeichnungen / audiovisual collection; Tabellen / tables; Datenbanken / data bases
Methode der Datenerhebung:
A drone was used to carry LTE UEs up to altitude of 120 m. Live video was sent from the drone to a remote server to simulate a remote piloting operation.
Beschreibung:
The repository holds the measurement results that were published in "Analyzing Real-time Video Delivery over Cellular Networks for Remote Piloting Aerial Vehicles", IMC'22. The dataset contains the sent and received videos, LTE logs, packet traces and video application logs.
Links:

This dataset relates to the publication 10.1145/3517745.3561465

Schlagworte:
Adaptive streaming, real-time video, cellular networks, LTE, UDP, RTP, UAV, drone, eVTOL, flying taxi, UAM, AAM
Technische Hinweise:
View and download (73 GB total, 1893 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1687221):
rsync rsync://m1687221@dataserv.ub.tum.de/m1687221/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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