Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency
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Datum
2022Typ
- Conference Paper
ETH Bibliographie
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Abstract
For robotic interaction in environments shared with other agents, access to volumetric and semantic maps of the scene is crucial. However, such environments are inevitably subject to long-term changes, which the map needs to account for. We thus propose panoptic multi-TSDFs as a novel representation for multi-resolution volumetric mapping in changing environments. By leveraging high-level information for 3D reconstruction, our proposed system allocates high resolution only where needed. Through reasoning on the object level, semantic consistency over time is achieved. This enables our method to maintain up-to-date reconstructions with high accuracy while improving coverage by incorporating previous data. We show in thorough experimental evaluation that our map can be efficiently constructed, maintained, and queried during online operation, and that the presented approach can operate robustly on real depth sensors using non-optimized panoptic segmentation as input. Mehr anzeigen
Publikationsstatus
publishedExterne Links
Buchtitel
2022 International Conference on Robotics and Automation (ICRA)Seiten / Artikelnummer
Verlag
IEEEKonferenz
Thema
Three-dimensional displays; Automation; Semantics; Hardware; Cognition; Sensors; RobotsOrganisationseinheit
03766 - Pollefeys, Marc / Pollefeys, Marc
03737 - Siegwart, Roland Y. / Siegwart, Roland Y.
ETH Bibliographie
yes
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