R-YOLO: Enhancing Takeoff/Landing Safety in UAM Vertiports With Deep Learning Model

This study introduces the R-YOLO model, an innovative AI-driven safety system that incorporates real-time object detection and trajectory prediction to provide decision support information during the critical takeoff and landing phases of improving urban air mobility (UAM) operations. The proposed u...

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Bibliografiske detaljer

Principais autores:	Nan Lao Ywet, Aye Aye Maw, Jae-Woo Lee
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	R-YOLO object detection trajectory prediction UAM operation vertiport
Online adgang:	https://ieeexplore.ieee.org/document/11007105/
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