A Resilient Method for Visual–Inertial Fusion Based on Covariance Tuning

To improve localization and pose precision of visual–inertial simultaneous localization and mapping (viSLAM) in complex scenarios, it is necessary to tune the weights of the visual and inertial inputs during sensor fusion. To this end, we propose a resilient viSLAM algorithm based on covariance tuni...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Kailin, Li, Jiansheng, Wang, Ancheng, Luo, Haolong, Li, Xueqiang, Yang, Zidi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781031/
https://www.ncbi.nlm.nih.gov/pubmed/36560205
http://dx.doi.org/10.3390/s22249836

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781031/
https://www.ncbi.nlm.nih.gov/pubmed/36560205
http://dx.doi.org/10.3390/s22249836

Ejemplares similares