A Revisiting Method Using a Covariance Traveling Salesman Problem Algorithm for Landmark-Based Simultaneous Localization and Mapping

This paper presents an efficient revisiting algorithm for landmark-based simultaneous localization and mapping (SLAM). To reduce SLAM uncertainty in terms of a robot’s pose and landmark positions, the method autonomously evaluates valuable landmarks for the data associations in the SLAM algorithm an...

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Detalles Bibliográficos
Autor principal: Ryu, Hyejeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891320/
https://www.ncbi.nlm.nih.gov/pubmed/31717671
http://dx.doi.org/10.3390/s19224910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891320/
https://www.ncbi.nlm.nih.gov/pubmed/31717671
http://dx.doi.org/10.3390/s19224910

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