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Efficient Clustering for Continuous Occupancy Mapping Using a Mixture of Gaussian Processes †
This paper proposes a novel method for occupancy map building using a mixture of Gaussian processes. Gaussian processes have proven to be highly flexible and accurate for a robotic occupancy mapping problem, yet the high computational complexity has been a critical barrier for large-scale applicatio...
Autores principales: | Kim, Soohwan, Kim, Jonghyuk |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505052/ https://www.ncbi.nlm.nih.gov/pubmed/36146179 http://dx.doi.org/10.3390/s22186832 |
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