EN
Autonomous Flight Systems and Generative AI
Öz
Autonomous flight systems have emerged as a significant area of research and development within the aviation industry. With the advancements in artificial intelligence (AI), particularly generative AI, these systems have witnessed substantial improvements in their capabilities and efficiency. This abstract explores the integration of generative AI techniques in autonomous flight systems and its implications on the aviation sector. Generative AI algorithms play a crucial role in various aspects of autonomous flight, including flight path planning, obstacle detection and avoidance, decision-making processes, and even aircraft design optimization. By leveraging generative AI, autonomous flight systems can adapt and respond to dynamic environments in real-time, enhancing safety, efficiency, and reliability. Furthermore, generative AI enables the generation of innovative solutions and designs that may not be apparent through traditional methods, leading to more optimized and efficient aircraft configurations. This abstract also discusses the challenges and future directions in the utilization of generative AI in autonomous flight systems, including regulatory considerations, ethical concerns, and the need for continued research and development. Overall, the integration of generative AI in autonomous flight systems represents a promising avenue for advancing the capabilities and effectiveness of aviation technology in the 21st century.
Anahtar Kelimeler
Destekleyen Kurum
Aselsan-Bites
Kaynakça
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- [6] Yang, L., Cui, W., & Meng, X. (2021). A Survey of Key Technologies for Autonomous Flight of UAVs. IEEE Access, 9, 68745-68766. https://doi.org/10.1109/ACCESS.2021.3070011
- [7] Zhang, Y., Chen, L., & Zhang, H. (2020). A survey on deep learning for UAV-based communication networks. IEEE Access, 8, 22147-22159. https://doi.org/10.1109/ACCESS.2020.2960668
- [8] Sun, Y., Yu, L., & Zhang, Y. (2021). A Survey of Machine Learning for Unmanned Aerial Vehicles: Recent Advances, Taxonomy, and Challenges. IEEE Transactions on Intelligent Transportation Systems, 22(1), 543-562. https://doi.org/10.1109/TITS.2020.2979192
Ayrıntılar
Birincil Dil
İngilizce
Konular
Yapay Zeka (Diğer)
Bölüm
Araştırma Makalesi
Erken Görünüm Tarihi
11 Aralık 2024
Yayımlanma Tarihi
22 Aralık 2024
Gönderilme Tarihi
11 Kasım 2024
Kabul Tarihi
9 Aralık 2024
Yayımlandığı Sayı
Yıl 2024 Cilt: 8 Sayı: 2
APA
Berkol, A., & Demirtaş, İ. G. (2024). Autonomous Flight Systems and Generative AI. International Journal of Multidisciplinary Studies and Innovative Technologies, 8(2), 81-85. https://izlik.org/JA99BJ87GK
AMA
1.Berkol A, Demirtaş İG. Autonomous Flight Systems and Generative AI. IJMSIT. 2024;8(2):81-85. https://izlik.org/JA99BJ87GK
Chicago
Berkol, Ali, ve İdil Gökçe Demirtaş. 2024. “Autonomous Flight Systems and Generative AI”. International Journal of Multidisciplinary Studies and Innovative Technologies 8 (2): 81-85. https://izlik.org/JA99BJ87GK.
EndNote
Berkol A, Demirtaş İG (01 Aralık 2024) Autonomous Flight Systems and Generative AI. International Journal of Multidisciplinary Studies and Innovative Technologies 8 2 81–85.
IEEE
[1]A. Berkol ve İ. G. Demirtaş, “Autonomous Flight Systems and Generative AI”, IJMSIT, c. 8, sy 2, ss. 81–85, Ara. 2024, [çevrimiçi]. Erişim adresi: https://izlik.org/JA99BJ87GK
ISNAD
Berkol, Ali - Demirtaş, İdil Gökçe. “Autonomous Flight Systems and Generative AI”. International Journal of Multidisciplinary Studies and Innovative Technologies 8/2 (01 Aralık 2024): 81-85. https://izlik.org/JA99BJ87GK.
JAMA
1.Berkol A, Demirtaş İG. Autonomous Flight Systems and Generative AI. IJMSIT. 2024;8:81–85.
MLA
Berkol, Ali, ve İdil Gökçe Demirtaş. “Autonomous Flight Systems and Generative AI”. International Journal of Multidisciplinary Studies and Innovative Technologies, c. 8, sy 2, Aralık 2024, ss. 81-85, https://izlik.org/JA99BJ87GK.
Vancouver
1.Ali Berkol, İdil Gökçe Demirtaş. Autonomous Flight Systems and Generative AI. IJMSIT [Internet]. 01 Aralık 2024;8(2):81-5. Erişim adresi: https://izlik.org/JA99BJ87GK