Deep learning based tools for drone surveillance and detection in adverse environmental conditions
This study explores the design of an automated Machine pipeline comprising state-of-theart image enhancement and object detection algorithms as an aid for air traffic controllers to quickly spot and identify drone incursions in the surrounding airspace. Experiments were conducted to evaluate the d...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/159074 |