State Transition for Statistical SLAM Using Planar Features in 3D Point Clouds

There is a large body of literature on solving the SLAM problem for various autonomous vehicle applications. A substantial part of the solutions is formulated based on using statistical (mainly Bayesian) filters such as Kalman filter and its extended version. In such solutions, the measurements are...

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Detalles Bibliográficos
Autores principales: Gostar, Amirali Khodadadian, Fu, Chunyun, Chuah, Weiqin, Hossain, Mohammed Imran, Tennakoon, Ruwan, Bab-Hadiashar, Alireza, Hoseinnezhad, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479366/
https://www.ncbi.nlm.nih.gov/pubmed/30987259
http://dx.doi.org/10.3390/s19071614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479366/
https://www.ncbi.nlm.nih.gov/pubmed/30987259
http://dx.doi.org/10.3390/s19071614

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