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Grapenthin, Jan (2024) Investigating Unsupervised Domain Adaptation for Synthetic Data for ML-Based UAV Environment Perception (Bachelorarbeit). DLR-Interner Bericht. DLR-IB-FT-BS-2024-11. Bachelor's.
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| Item URL in elib: | https://elib.dlr.de/202903/ | ||||||||
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| Document Type: | Monograph (DLR-Interner Bericht, Bachelor's) | ||||||||
| Title: | Investigating Unsupervised Domain Adaptation for Synthetic Data for ML-Based UAV Environment Perception (Bachelorarbeit) | ||||||||
| Authors: |
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| Date: | 2024 | ||||||||
| Open Access: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Synthetic Data; Unsupervised Domain Adaptation; Adversarial Training; Unmanned Aerial Vehicle (UAV) | ||||||||
| 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: | 21 Feb 2024 15:48 | ||||||||
| Last Modified: | 21 Feb 2024 15:48 |
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