Unmanned aerial vehicle (UAV) object detection using YOLO detector
Nowadays, unmanned aerial vehicles (UAVs) have gained significant popularity i n computer vision (CV) and remote sensing (RS). Concurrently, GPU acceleration has facilitated the widespread adoption of deep l earning (DL). This dissertation comprehensively reviews mainstream object detection metho...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175475 |
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| Institution: | Nanyang Technological University |
| Language: | English |