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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Detalles Bibliográficos
Autores principales: Truong, Noi Quang, Lee, Young Won, Owais, Muhammad, Nguyen, Dat Tien, Batchuluun, Ganbayar, Pham, Tuyen Danh, Park, Kang Ryoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411990/
https://www.ncbi.nlm.nih.gov/pubmed/32674485
http://dx.doi.org/10.3390/s20143918

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