YOLOTransfer-DT: An Operational Digital Twin Framework with Deep and Transfer Learning for Collision Detection and Situation Awareness in Urban Aerial Mobility

YOLOTransfer-DT: An Operational Digital Twin Framework with Deep and Transfer Learning for Collision Detection and Situation Awareness in Urban Aerial Mobility

Urban Air Mobility (UAM) emerges as a transformative approach to address urban congestion and pollution, offering efficient and sustainable transportation for people and goods. Central to UAM is the Operational Digital Twin (ODT), which plays a crucial role in real-time management of air traffic, en...

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Bibliographic Details
Main Authors: Nan Lao Ywet, Aye Aye Maw, Tuan Anh Nguyen, Jae-Woo Lee
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Aerospace
Subjects:
urbanair mobility
operational digital twin
collision detection
situation awareness
deep learning
transfer learning
Online Access:https://www.mdpi.com/2226-4310/11/3/179

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https://www.mdpi.com/2226-4310/11/3/179

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