Evaluating YOLO Variants With Transfer Learning for Real-Time UAV Obstacle Detection in Simulated Forest Environments
Autonomous navigation in forest environments poses significant challenges for Uncrewed Aerial Vehicles (UAVs), where reliable obstacle detection is essential for safe operation. This study presents a detailed performance evaluation of recent YOLO models (v8–v11) using a realistic simulati...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11027122/ |
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