UAPF: A UWB Aided Particle Filter Localization For Scenarios with Few Features

Lidar-based localization doesn’t have high accuracy in open scenarios with few features, and behaves poorly in robot kidnap recovery. To address this problem, an improved Particle Filter localization is proposed who could achieve robust robot kidnap detection and pose error compensation. UAPF adapti...

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Detalles Bibliográficos
Autores principales: Wang, Yang, Zhang, Weimin, Li, Fangxing, Shi, Yongliang, Nie, Fuyu, Huang, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730271/
https://www.ncbi.nlm.nih.gov/pubmed/33260668
http://dx.doi.org/10.3390/s20236814

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730271/
https://www.ncbi.nlm.nih.gov/pubmed/33260668
http://dx.doi.org/10.3390/s20236814

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