{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T11:04:56Z","timestamp":1784372696191,"version":"3.55.0"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000006","name":"ONR","doi-asserted-by":"publisher","award":["N00014-24-1-2003"],"award-info":[{"award-number":["N00014-24-1-2003"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1109\/lra.2024.3382533","type":"journal-article","created":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T19:07:41Z","timestamp":1711652861000},"page":"4607-4614","source":"Crossref","is-referenced-by-count":29,"title":["iSLAM: Imperative SLAM"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4545-7736","authenticated-orcid":false,"given":"Taimeng","family":"Fu","sequence":"first","affiliation":[{"name":"Spatial AI &amp; Robotics (SAIR) Lab, Institute for Artificial Intelligence and Data Science, Department of Computer Science and Engineering, University at Buffalo, Amherst, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1690-2327","authenticated-orcid":false,"given":"Shaoshu","family":"Su","sequence":"additional","affiliation":[{"name":"Spatial AI &amp; Robotics (SAIR) Lab, Institute for Artificial Intelligence and Data Science, Department of Computer Science and Engineering, University at Buffalo, Amherst, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5411-0411","authenticated-orcid":false,"given":"Yiren","family":"Lu","sequence":"additional","affiliation":[{"name":"Spatial AI &amp; Robotics (SAIR) Lab, Institute for Artificial Intelligence and Data Science, Department of Computer Science and Engineering, University at Buffalo, Amherst, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4630-0805","authenticated-orcid":false,"given":"Chen","family":"Wang","sequence":"additional","affiliation":[{"name":"Spatial AI &amp; Robotics (SAIR) Lab, Institute for Artificial Intelligence and Data Science, Department of Computer Science and Engineering, University at Buffalo, Amherst, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s40903-015-0032-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2017.2705103"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2658577"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989236"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341716"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS55552.2023.10341914"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2624754"},{"key":"ref8","first-page":"1761","article-title":"TartanVO: A generalizable learning-based VO","volume-title":"Proc. Conf. Robot Learn.","author":"Wang","year":"2021"},{"key":"ref9","first-page":"16558","article-title":"Droid-SLAM: Deep visual SLAM for monocular, stereo, and RGB-D cameras","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Teed","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3075644"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2018.2853729"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2014.6942926"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02109"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3132674"},{"key":"ref15","first-page":"4882","article-title":"Bilevel optimization: Convergence analysis and enhanced design","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ji","year":"2021"},{"key":"ref16","first-page":"1","article-title":"BA-Net: Dense bundle adjustment network","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Tang","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5555\/777092.777184"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1049"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10605-2_54"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6224709"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811658"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461251"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/325"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341801"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2965415"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00672"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1137\/20M1387341"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2023.XIX.064"},{"key":"ref29","first-page":"21453","article-title":"A bi-level framework for learning to solve combinatorial optimization on graphs","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Wang","year":"2021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_35"},{"key":"ref31","article-title":"AirIMU: Learning uncertainty propagation for inertial odometry","author":"Qiu","year":"2023"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19839-7_14"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968467"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915620033"},{"key":"ref36","first-page":"1","article-title":"DeepV2D: Video to depth with differentiable structure from motion","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Teed","year":"2020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2013.IX.037"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/10474437\/10480556.pdf?arnumber=10480556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:46:19Z","timestamp":1743043579000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10480556\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":37,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/lra.2024.3382533","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}