Cargando…
Regularized Maximum Correntropy Criterion Kalman Filter for Uncalibrated Visual Servoing in the Presence of Non-Gaussian Feature Tracking Noise
Some advantages of using cameras as sensor devices on feedback systems are the flexibility of the data it represents, the possibility to extract real-time information, and the fact that it does not require contact to operate. However, in unstructured scenarios, Image-Based Visual Servoing (IBVS) rob...
Autores principales: | Leite, Glauber Rodrigues, de Araújo, Ícaro Bezerra Queiroz, Martins, Allan de Medeiros |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610879/ https://www.ncbi.nlm.nih.gov/pubmed/37896611 http://dx.doi.org/10.3390/s23208518 |
Ejemplares similares
-
Variational Bayesian-Based Improved Maximum Mixture Correntropy Kalman Filter for Non-Gaussian Noise
por: Li, Xuyou, et al.
Publicado: (2022) -
Adaptive Robust Unscented Kalman Filter via Fading Factor and Maximum Correntropy Criterion
por: Deng, Zhihong, et al.
Publicado: (2018) -
Diffusion Maximum Correntropy Criterion Based Robust Spectrum Sensing in Non-Gaussian Noise Environments
por: Xu, Xiguang, et al.
Publicado: (2018) -
Student’s t-Kernel-Based Maximum Correntropy Kalman Filter
por: Huang, Hongliang, et al.
Publicado: (2022) -
Newtonian-Type Adaptive Filtering Based on the Maximum Correntropy Criterion
por: Yue, Pengcheng, et al.
Publicado: (2020)