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Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization
Traditional approaches to outdoor vehicle localization assume a reliable, prior map is available, typically built using the same sensor suite as the on-board sensors used during localization. This work makes a different assumption. It assumes that an overhead image of the workspace is available and...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721700/ https://www.ncbi.nlm.nih.gov/pubmed/34992328 http://dx.doi.org/10.1177/02783649211045736 |