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Title:

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

Document type:
Forschungsdaten
Publication date:
06.10.2022
Responsible:
Cech, Hendrik
Authors:
Baltaci, Aygün ; Cech, Hendrik ; Mohan, Nitinder ; Geyer, Fabien ; Bajpai, Vaibhav ; Ott, Jörg ; Schupke, Dominic
Author affiliation:
TUM; Airbus
Publisher:
TUM
Identifier:
doi:10.14459/2022mp1687221
End date of data production:
23.03.2022
Subject area:
DAT Datenverarbeitung, Informatik
Resource type:
Experimente und Beobachtungen / experiments and observations; Logfiles und Nutzungsdaten / log files and usage data
Data type:
Video-Aufzeichnungen / audiovisual collection; Tabellen / tables; Datenbanken / data bases
Description:
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.
Method of data assessment:
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.
Links:

This dataset relates to the publication 10.1145/3517745.3561465

Key words:
Adaptive streaming, real-time video, cellular networks, LTE, UDP, RTP, UAV, drone, eVTOL, flying taxi, UAM, AAM
Technical remarks:
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/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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