- Titel
- Real Time Multi Stream Video Transmission in Autonomous UAV
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-1051584
- Schriftenreihe
- Chemnitzer Informatik-Berichte
- Bandnummer
- CSR-26-05
- Datum der Einreichung
- 29.01.2026
- DOI
- https://doi.org/10.60687/2026-0119
- Abstract (EN)
- This study develops and optimises a dual video streaming system to address the development of real-time multi-stream video transmission for autonomous Unmanned Aerial Vehicles (UAVs). UAV mission monitoring and decision-making depend heavily on real-time video feeds, particularly when multiple points of view are required for efficient target tracking, navigation, and ground control operations. The study’s main goal is to improve the vision subsystem on an NVIDIA Jetson Nano with limited resources, which can only handle one video feed at a time. The project faces the technical difficulty of enabling dependable and effective dual-stream transmission without causing other mission-critical tasks to be disrupted or overloading the embedded platform. The upgraded streaming component allows the UAV to send and record two simultaneous video streams to the Ground Control Station (GCS) by utilising hardware-accelerated video encoding and effective utilisation of resources. In practical situations, this improves the operators’ situational awareness and mission flexibility. The outcomes verify that the improved streaming architecture is completely compatible with the UAV’s current system and accomplishes reliable, real-time dual-video transmission within the Jetson Nano’s computational constraints. An important step towards flexible, scalable, and real-time visual situational awareness in autonomous UAV operations is demonstrated by this work.
- Andere Ausgabe
- Link: https://www.tu-chemnitz.de/informatik/service/ib/
- Freie Schlagwörter (EN)
- Jetson Nano, Hardware accelerated video encoder/decoder, Resource Management, G-Streamer, Ground Control Station(GCS)
- Klassifikation (DDC)
- 000
- Normschlagwörter (GND)
- Unbemanntes Fahrzeug, Video, Streaming <Kommunikationstechnik>, NVIDIA Jetson Nano
- GutachterIn
- Dr. Batbayar Battseren
- BetreuerIn Hochschule / Universität
- Prof. Dr. Wolfram Hardt
- Den akademischen Grad verleihende / prüfende Institution
- Technische Universität Chemnitz, Chemnitz
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:ch1-qucosa2-1051584
- Veröffentlichungsdatum Qucosa
- 09.06.2026
- Dokumenttyp
- Masterarbeit / Staatsexamensarbeit
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
