A Simultaneous Localization and Mapping System Using the Iterative Error State Kalman Filter Judgment Algorithm for Global Navigation Satellite System

Outdoor autonomous mobile robots heavily rely on GPS data for localization. However, GPS data can be erroneous and signals can be interrupted in highly urbanized areas or areas with incomplete satellite coverage, leading to localization deviations. In this paper, we propose a SLAM (Simultaneous Loca...

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Detalles Bibliográficos
Autores principales: You, Bo, Zhong, Guangjin, Chen, Chen, Li, Jiayu, Ma, Ersi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346472/
https://www.ncbi.nlm.nih.gov/pubmed/37447850
http://dx.doi.org/10.3390/s23136000

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346472/
https://www.ncbi.nlm.nih.gov/pubmed/37447850
http://dx.doi.org/10.3390/s23136000

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