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Subgraph Learning for Topological Geolocalization with Graph Neural Networks
One of the challenges of spatial cognition, such as self-localization and navigation, is to develop an efficient learning approach capable of mimicking human ability. This paper proposes a novel approach for topological geolocalization on the map using motion trajectory and graph neural networks. Sp...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255631/ https://www.ncbi.nlm.nih.gov/pubmed/37299825 http://dx.doi.org/10.3390/s23115098 |