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Untersuchungen zum Sim-to-Real Gap bei neuronalen Netzen zur semantischen Segmentierung der Umgebung eines UAVs

Hinniger, Christoph (2023) Untersuchungen zum Sim-to-Real Gap bei neuronalen Netzen zur semantischen Segmentierung der Umgebung eines UAVs. DLR-Interner Bericht. DLR-IB-FT-BS-2023-33. Master's. Technische Universität Braunschweig.

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Item URL in elib:https://elib.dlr.de/194519/
Document Type:Monograph (DLR-Interner Bericht, Master's)
Title:Untersuchungen zum Sim-to-Real Gap bei neuronalen Netzen zur semantischen Segmentierung der Umgebung eines UAVs
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hinniger, ChristophUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2023
Refereed publication:No
Open Access:No
Status:Published
Keywords:Environment Perception, Semantic Segmentation, Synthetic Data, Game Engine, Sim-to-Real Gap, Machine Learning, Unmanned Aerial Vehicle
Institution:Technische Universität Braunschweig
Department:Fakultät Maschinenbau
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Digitalisation
DLR - Program:D IAS - Innovative Autonomous Systems
DLR - Research theme (Project):D - SKIAS
Location: Braunschweig
Institutes and Institutions:Institute of Flight Systems > Unmanned Aircraft
Institute of Flight Systems
Deposited By: Rüter, Joachim
Deposited On:28 Sep 2023 15:02
Last Modified:29 Feb 2024 19:36

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