δ-Generalized Labeled Multi-Bernoulli Simultaneous Localization and Mapping with an Optimal Kernel-Based Particle Filtering Approach

Under realistic environmental conditions, heuristic-based data association and map management routines often result in divergent map and trajectory estimates in robotic Simultaneous Localization And Mapping (SLAM). To address these issues, SLAM solutions have been proposed based on the Random Finite...

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Detalles Bibliográficos
Autores principales: Moratuwage, Diluka, Adams, Martin, Inostroza, Felipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567325/
https://www.ncbi.nlm.nih.gov/pubmed/31108994
http://dx.doi.org/10.3390/s19102290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567325/
https://www.ncbi.nlm.nih.gov/pubmed/31108994
http://dx.doi.org/10.3390/s19102290

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