Wagner, Peter und Camero Unzueta, Andres und Mühlhaus, Manuel Nikolas und Scheib, Gabriel Arden (2026) KI-Tarnung: AI-Developed Camouflage. ISIP 2026, 2026-10-13 - 2026-10-16, Bad Reichenhall.
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Kurzfassung
In the project KI-Tarnung the Institute for Remote Sensing Technology (in coop. with the Institutes for AI Security and for Software Technology) develops a physical camouflage for vehicles that deceives the vehicle detection of an AI model in aerial RGB imagery. In our method we generate a camouflage by exploiting the susceptibility of AI models to adversarial attacks. In our digital camouflage generation, we account for real-world imagery effects and optimize for hardware that can be used for camouflage and is available on the market. Explainable AI as well as anomaly detection will be used to understand and optimize attack and defense methods. Finally, we will test the real-world performance in a flight campaign in which we will produce a dataset of aerial images of our camouflaged vehicle. I will present an overview and the current status of the project.
| elib-URL des Eintrags: | https://elib.dlr.de/228141/ | ||||||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
| Titel: | KI-Tarnung: AI-Developed Camouflage | ||||||||||||||||||||
| Autoren: |
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| Datum: | 14 Oktober 2026 | ||||||||||||||||||||
| Referierte Publikation: | Nein | ||||||||||||||||||||
| Open Access: | Nein | ||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||
| In SCOPUS: | Nein | ||||||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||
| Stichwörter: | AI, aerial images, drone images, camouflage, visual, vehicle, adversarial attack | ||||||||||||||||||||
| Veranstaltungstitel: | ISIP 2026 | ||||||||||||||||||||
| Veranstaltungsort: | Bad Reichenhall | ||||||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
| Veranstaltungsbeginn: | 13 Oktober 2026 | ||||||||||||||||||||
| Veranstaltungsende: | 16 Oktober 2026 | ||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||||||
| HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
| DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Künstliche Intelligenz, R - Optische Fernerkundung | ||||||||||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science Institut für Methodik der Fernerkundung > Abbildende Spektroskopie Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||||||||||
| Hinterlegt von: | Wagner, Peter | ||||||||||||||||||||
| Hinterlegt am: | 26 Okt 2026 10:20 | ||||||||||||||||||||
| Letzte Änderung: | 26 Okt 2026 10:20 |
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