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RGB-D Object SLAM Using Quadrics for Indoor Environments
Indoor service robots need to build an object-centric semantic map to understand and execute human instructions. Conventional visual simultaneous localization and mapping (SLAM) systems build a map using geometric features such as points, lines, and planes as landmarks. However, they lack a semantic...
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| Опубликовано в: : | Sensors (Basel) |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7571184/ https://ncbi.nlm.nih.gov/pubmed/32917023 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185150 |
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