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

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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Bibliographic Details
Main Authors: Nan Lao Ywet, Aye Aye Maw, Jae-Woo Lee
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
R-YOLO
object detection
trajectory prediction
UAM operation
vertiport
Online Access:https://ieeexplore.ieee.org/document/11007105/
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https://ieeexplore.ieee.org/document/11007105/

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