ROSEBUD: A Deep Fluvial Segmentation Dataset for Monocular Vision-Based River Navigation and Obstacle Avoidance

Obstacle detection for autonomous navigation through semantic image segmentation using neural networks has grown in popularity for use in unmanned ground and surface vehicles because of its ability to rapidly create a highly accurate pixel-wise classification of complex scenes. Due to the lack of av...

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Detalles Bibliográficos
Autores principales: Lambert, Reeve, Chavez-Galaviz, Jalil, Li, Jianwen, Mahmoudian, Nina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269472/
https://www.ncbi.nlm.nih.gov/pubmed/35808174
http://dx.doi.org/10.3390/s22134681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269472/
https://www.ncbi.nlm.nih.gov/pubmed/35808174
http://dx.doi.org/10.3390/s22134681

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