The Motion Estimation of Unmanned Aerial Vehicle Axial Velocity Using Blurred Images
This study proposes a novel method for estimating the axial velocity of unmanned aerial vehicles (UAVs) using motion blur images captured in environments where GPS signals are unavailable and lighting conditions are poor, such as underground tunnels and corridors. By correlating the length of motion...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2024-07-01
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| Schriftenreihe: | Drones |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2504-446X/8/7/306 |
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