Thirunavukkarasu, Arunachalam und Helms, Domenik und Bernal, Christian Ojeda und Mantowsky, Sven und Bukhari, Saqib und Bücs, Robert Lajos (2025) Generative AI in Automotive Industry. Advances in Artificial Intelligence and Machine Learning, 5 (4), Seiten 1-18. Shimur Publications. doi: 10.54364/AAIML.2025.54260. ISSN 2582-9793.
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Kurzfassung
he growing popularity of generative artificial intelligence has led to significant changes in various industries, including automotive sector. The industry is undergoing a transformation from traditional design and development of systems to modern AI-based architectures. This development, reminiscent of the transition from simple mobile phones to smartphones, positions generative AI as one of the most important drivers of these changes. This article provides a comprehensive overview of the scalability issues and integration opportunities of generative AI in the automotive industry. We examine the current state and challenges of implementing generative AI in limited hardware environments, such as those typical of automotive systems. In addition, we discuss the evolving E/E architectures in the industry that are paving the way for this technological integration. The article also highlights early examples of generative AI adoption in the automotive sector and provides insight into the industry's ongoing transformation toward more advanced AI-based features.
| elib-URL des Eintrags: | https://elib.dlr.de/226286/ | ||||||||||||||||||||||||||||
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| Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||
| Titel: | Generative AI in Automotive Industry | ||||||||||||||||||||||||||||
| Autoren: |
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| Datum: | 15 Dezember 2025 | ||||||||||||||||||||||||||||
| Erschienen in: | Advances in Artificial Intelligence and Machine Learning | ||||||||||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
| Open Access: | Ja | ||||||||||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||||||||||||||
| In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||
| Band: | 5 | ||||||||||||||||||||||||||||
| DOI: | 10.54364/AAIML.2025.54260 | ||||||||||||||||||||||||||||
| Seitenbereich: | Seiten 1-18 | ||||||||||||||||||||||||||||
| Herausgeber: |
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| Verlag: | Shimur Publications | ||||||||||||||||||||||||||||
| ISSN: | 2582-9793 | ||||||||||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||||||||||
| Stichwörter: | Generative AI Scalability challenges E/E architectures. | ||||||||||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
| HGF - Programm: | Verkehr | ||||||||||||||||||||||||||||
| HGF - Programmthema: | Straßenverkehr | ||||||||||||||||||||||||||||
| DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||||||||||
| DLR - Forschungsgebiet: | V ST Straßenverkehr | ||||||||||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | V - Reliable AI | ||||||||||||||||||||||||||||
| Standort: | Oldenburg | ||||||||||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Systems Engineering für zukünftige Mobilität > System Evolution and Operation | ||||||||||||||||||||||||||||
| Hinterlegt von: | Thirunavukkarasu, Arunachalam | ||||||||||||||||||||||||||||
| Hinterlegt am: | 28 Aug 2026 10:31 | ||||||||||||||||||||||||||||
| Letzte Änderung: | 28 Aug 2026 11:39 |
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