{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T08:17:06Z","timestamp":1781079426476,"version":"3.54.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/lra.2024.3384084","type":"journal-article","created":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T20:04:51Z","timestamp":1712001891000},"page":"4886-4893","source":"Crossref","is-referenced-by-count":29,"title":["Indoor and Outdoor 3D Scene Graph Generation Via Language-Enabled Spatial Ontologies"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3978-9542","authenticated-orcid":false,"given":"Jared","family":"Strader","sequence":"first","affiliation":[{"name":"Laboratory for Information & Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1201-7032","authenticated-orcid":false,"given":"Nathan","family":"Hughes","sequence":"additional","affiliation":[{"name":"Laboratory for Information & Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9193-9197","authenticated-orcid":false,"given":"William","family":"Chen","sequence":"additional","affiliation":[{"name":"Berkeley Artificial Intelligence Research (BAIR), University of California, Berkely, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9203-2901","authenticated-orcid":false,"given":"Alberto","family":"Speranzon","sequence":"additional","affiliation":[{"name":"Lockheed Martin, Advanced Technology Labs, Eagan, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1884-5397","authenticated-orcid":false,"given":"Luca","family":"Carlone","sequence":"additional","affiliation":[{"name":"Laboratory for Information & Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00576"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/02783649211056674"},{"key":"ref3","first-page":"2022","article-title":"Hydra: A real-time spatial perception engine for 3D scene graph construction and optimization","volume-title":"Proc. Robot.: Sci. Syst.","author":"Hughes"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00743"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1177\/02783649241229725"},{"key":"ref6","first-page":"46","article-title":"Taskography: Evaluating robot task planning over large 3D scene graphs","volume-title":"Proc. Conf. Robot Learn.","author":"Agia","year":"2022"},{"key":"ref7","first-page":"23","article-title":"SayPlan: Grounding large language models using 3D scene graphs for scalable task planning","volume-title":"Proc. Conf. Robot Learn.","author":"Rana","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812179"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812355"},{"key":"ref10","article-title":"Collaborative dynamic 3D scene graphs for automated driving","author":"Greve","year":"2023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2021.103649"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00402"},{"key":"ref13","first-page":"9600","article-title":"3DP3: 3D scene perception via probabilistic programming","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Gothoskar","year":"2021"},{"key":"ref14","article-title":"Leveraging large (visual) language models for robot 3D scene understanding","author":"Chen","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956224"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01604"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR-Adjunct51615.2020.00072"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1006\/ijhc.1995.1081"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76298-0_52"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11164"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58592-1_36"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298778"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108153"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/case56687.2023.10260650"},{"key":"ref25","first-page":"18620","article-title":"Knowledge-inspired 3D scene graph prediction in point cloud","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang","year":"2021"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00257"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.373"},{"key":"ref28","article-title":"Head-to-Tail: How knowledgeable are large language models (LLM)? A. K. A. will LLMs replace knowledge graphs?","author":"Sun","year":"2023"},{"key":"ref29","article-title":"Large language models and knowledge graphs: Opportunities and challenges","author":"Pan","year":"2023"},{"key":"ref30","article-title":"Foundations of reasoning with uncertainty via real-valued logics","author":"Fagin","year":"2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2021.103602"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00081"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00943"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00292"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.544"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3181357"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196885"},{"key":"ref38","article-title":"Efficient estimation of word representations in vector space","author":"Mikolov","year":"2013"},{"key":"ref39","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Velikovi","year":"2018"},{"key":"ref40","article-title":"Fast graph representation learning with PyTorch Geometric","volume-title":"Proc. Int. Conf. Learn. Representations Workshop Representation Learn. Graphs Manifolds","author":"Fey","year":"2019"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/10504377\/10487851.pdf?arnumber=10487851","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T19:30:55Z","timestamp":1734982255000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10487851\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":40,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/lra.2024.3384084","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}