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SlimDeblurGAN-Based Motion Deblurring and Marker Detection for Autonomous Drone Landing
Deep learning-based marker detection for autonomous drone landing is widely studied, due to its superior detection performance. However, no study was reported to address non-uniform motion-blurred input images, and most of the previous handcrafted and deep learning-based methods failed to operate wi...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7411990/ https://ncbi.nlm.nih.gov/pubmed/32674485 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20143918 |
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