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Real-Time Vehicle-Detection Method in Bird-View Unmanned-Aerial-Vehicle Imagery
Vehicle detection is an important research area that provides background information for the diversity of unmanned-aerial-vehicle (UAV) applications. In this paper, we propose a vehicle-detection method using a convolutional-neural-network (CNN)-based object detector. We design our method, DRFBNet30...
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| Veröffentlicht in: | Sensors (Basel) |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6767679/ https://ncbi.nlm.nih.gov/pubmed/31540275 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19183958 |
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