We present an Open-Vocabulary 3D Scene Graph (OVSG), a formal framework for grounding a variety of entities, such as object instances, agents, and regions, with free-form text-based queries. Unlike conventional semantic-based object localization approaches, our system facilitates context-aware entity localization, allowing for queries such as pick up a cup on a kitchen table" or navigate to a sofa on which someone is sitting". In contrast to existing research on 3D scene graphs, OVSG supports free-form text input and open-vocabulary querying. Through a series of comparative experiments using the ScanNet dataset and a self-collected dataset, we demonstrate that our proposed approach significantly surpasses the performance of previous semantic-based localization techniques. Moreover, we highlight the practical application of OVSG in real-world robot navigation and manipulation experiments.
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs
OVSG enables context-aware 3D entity localization using free-form text queries, outperforming semantic-based methods and applicable in robot tasks.
- Year
- 2023
- Venue
- arXiv 2023
- Authors
- 11
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- Abstract onlyARXIV-DEFAULT
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- arxiv.org/abs/2309.15940ARXIV-DEFAULT
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