A computer vision framework to detect, track and identify objects in a wide field-of-view airport-airside environment
To accommodate the steady growth of air traffic, airports worldwide need to increase their capacity by expanding infrastructure and optimizing air traffic procedures. However, as airports add new infrastructure (runways, taxiways, and aprons) into operation, they also increase the challenge of airpo...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/168335 |