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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411990/ https://www.ncbi.nlm.nih.gov/pubmed/32674485 http://dx.doi.org/10.3390/s20143918 |