Visual tracking of drones in harsh environments
In this thesis, we will be considering the condition when detecting and localizing of UAV in indoor area which is GPS-denied. We will be using of a stationary camera mounted on the ground to perform detecting and localizing of UAV in GPS-denied area, which will be a room filled with disturbance. Und...
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/177239 |
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sg-ntu-dr.10356-1772392024-05-31T15:45:41Z Visual tracking of drones in harsh environments Song, Chaoyang Poenar Daniel Puiu School of Electrical and Electronic Engineering NACT Engineering Pte Ltd EPDPuiu@ntu.edu.sg Engineering Visual In this thesis, we will be considering the condition when detecting and localizing of UAV in indoor area which is GPS-denied. We will be using of a stationary camera mounted on the ground to perform detecting and localizing of UAV in GPS-denied area, which will be a room filled with disturbance. Under this condition we dive into using Simultaneous localization and mapping (SLAM) specifically Graph Based SLAM, real-time video streaming (RTVS), object detection and with the assist of programming language. Bachelor's degree 2024-05-31T01:19:36Z 2024-05-31T01:19:36Z 2024 Final Year Project (FYP) Song, C. (2024). Visual tracking of drones in harsh environments. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177239 https://hdl.handle.net/10356/177239 en B2163-231 application/pdf Nanyang Technological University |
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Nanyang Technological University |
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NTU Library |
| continent |
Asia |
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Singapore Singapore |
| content_provider |
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DR-NTU |
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English |
| topic |
Engineering Visual |
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Engineering Visual Song, Chaoyang Visual tracking of drones in harsh environments |
| description |
In this thesis, we will be considering the condition when detecting and localizing of UAV in indoor area which is GPS-denied. We will be using of a stationary camera mounted on the ground to perform detecting and localizing of UAV in GPS-denied area, which will be a room filled with disturbance. Under this condition we dive into using Simultaneous localization and mapping (SLAM) specifically Graph Based SLAM, real-time video streaming (RTVS), object detection and with the assist of programming language. |
| author2 |
Poenar Daniel Puiu |
| author_facet |
Poenar Daniel Puiu Song, Chaoyang |
| format |
Final Year Project |
| author |
Song, Chaoyang |
| author_sort |
Song, Chaoyang |
| title |
Visual tracking of drones in harsh environments |
| title_short |
Visual tracking of drones in harsh environments |
| title_full |
Visual tracking of drones in harsh environments |
| title_fullStr |
Visual tracking of drones in harsh environments |
| title_full_unstemmed |
Visual tracking of drones in harsh environments |
| title_sort |
visual tracking of drones in harsh environments |
| publisher |
Nanyang Technological University |
| publishDate |
2024 |
| url |
https://hdl.handle.net/10356/177239 |
| _version_ |
1814047196576743424 |