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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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2025-01-01
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| Edice: | IEEE Access |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/11007105/ |
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