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A Novel Distribution for Representation of 6D Pose Uncertainty

The 6D Pose estimation is a crux in many applications, such as visual perception, autonomous navigation, and spacecraft motion. For robotic grasping, the cluttered and self-occlusion scenarios bring new challenges to the this field. Currently, society uses CNNs to solve this problem. The CNN models...

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Detalles Bibliográficos
Autores principales: Zhang, Lei, Shang, Huiliang, Lin, Yandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780226/
https://www.ncbi.nlm.nih.gov/pubmed/35056290
http://dx.doi.org/10.3390/mi13010126