{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T10:28:54Z","timestamp":1779100134335,"version":"3.51.4"},"reference-count":18,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"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":[[2020,10]]},"DOI":"10.1109\/lra.2020.3015695","type":"journal-article","created":{"date-parts":[[2020,8,11]],"date-time":"2020-08-11T21:33:59Z","timestamp":1597181639000},"page":"6536-6543","source":"Crossref","is-referenced-by-count":10,"title":["Simultaneously Learning Corrections and Error Models for Geometry-Based Visual Odometry Methods"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7970-6596","authenticated-orcid":false,"given":"Andrea","family":"De Maio","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"Lacroix","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.694"},{"key":"ref11","first-page":"5574","article-title":"What uncertainties do we need in bayesian deep learning for computer vision?","author":"kendall","year":"2017","journal-title":"Advances Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2010.5548123"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593941"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-009-9155-6"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_9"},{"key":"ref17","first-page":"3607","article-title":"G2O: A general framework for graph optimization","author":"k\u00fcmmerle","year":"0","journal-title":"Proc IEEE Int Conf Robot Autom"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1561\/2300000035"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461251"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5220\/0005299304860490"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2778765"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917734298"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CRV.2014.9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6385713"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2658577"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2011.943233"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461047"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9133350\/09165094.pdf?arnumber=9165094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:33:58Z","timestamp":1651080838000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9165094\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":18,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/lra.2020.3015695","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10]]}}}