Growing semantically meaningful models for visual SLAM
Though modern Visual Simultaneous Localisation and Mapping (vSLAM) systems are capable of localising robustly and efficiently even in the case of a monocular camera, the maps produced are typically sparse point-clouds that are difficult to interpret and of little use for higher-level reasoning tasks...
| Auteurs principaux: | , , , , |
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| Format: | Conference item |
| Publié: |
2010
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