A Kalman Filter-Based Kernelized Correlation Filter Algorithm for Pose Measurement of a Micro-Robot

This paper proposes a moving-target tracking algorithm that measures the pose of a micro-robot with high precision and high speed using the Kalman filter-based kernelized correlation filter (K2CF) algorithm. The adaptive Kalman filter can predict the state of linearly and nonlinearly fast-moving tar...

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Detalles Bibliográficos
Autores principales: Zhang, Heng, Zhan, Hongwu, Zhang, Libin, Xu, Fang, Ding, Xinbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306500/
https://www.ncbi.nlm.nih.gov/pubmed/34209055
http://dx.doi.org/10.3390/mi12070774

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306500/
https://www.ncbi.nlm.nih.gov/pubmed/34209055
http://dx.doi.org/10.3390/mi12070774

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