{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:43:25Z","timestamp":1740134605038,"version":"3.37.3"},"reference-count":37,"publisher":"Informa UK Limited","issue":"19","funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","award":["61773374","ZR2019ZD07"],"award-info":[{"award-number":["61773374","ZR2019ZD07"]}],"id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003091","name":"Shandong Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003091","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Advanced Robotics"],"published-print":{"date-parts":[[2020,10,1]]},"DOI":"10.1080\/01691864.2020.1815573","type":"journal-article","created":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T05:54:05Z","timestamp":1599458045000},"page":"1272-1278","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":3,"title":["Improving accuracy of VI-SLAM with fish-eye camera based on biases of map points"],"prefix":"10.1080","volume":"34","author":[{"given":"Zhaobing","family":"Kang","sequence":"first","affiliation":[{"name":"Institute of Automation Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Zou","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China"},{"name":"TianJin Intelligent Tech. Institute of CASIA Co. Ltd, Tianjin, People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2020,9,6]]},"reference":[{"key":"CIT0001","doi-asserted-by":"crossref","unstructured":"Caruso D, Engel J, Cremers D. Large-scale direct SLAM for omnidirectional cameras. IEEE\/RSJ International Conference on Intelligent Robots and Systems; 2015 Sept 28\u2013Oct 2; Hamburg.","DOI":"10.1109\/IROS.2015.7353366"},{"key":"CIT0002","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2018.2853729"},{"key":"CIT0003","doi-asserted-by":"crossref","unstructured":"Gutierrez D, Rituerto A, Montiel JMM. Adapting a real-time monocular visual SLAM from conventional to omnidirectional cameras. IEEE International Conference on Computer Vision Workshops; 2011 Nov 6\u201313; Barcelona.","DOI":"10.1109\/ICCVW.2011.6130262"},{"key":"CIT0004","unstructured":"Silpa-Anan C, Hartley RI. Visual localization and loop-back detection with a high resolution omnidirectional camera. Workshop on Omnidirectional Vision; 2005."},{"key":"CIT0005","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2008.2004490"},{"key":"CIT0006","doi-asserted-by":"crossref","unstructured":"Scaramuzza D, Martinelli A, Siegwart R. A flexible technique for accurate omnidirectional camera calibration and structure from motion. IEEE International Conference on Computer Vision Systems; 2006 Jan 4\u20137; New York (NY).","DOI":"10.1109\/ICVS.2006.3"},{"key":"CIT0007","unstructured":"Zhang Z, Rebecq H, Forster C. Benefit of large field-of-view cameras for visual odometry. IEEE International Conference on Robotics and Automation; 2016 May 16\u201321; Stockholm."},{"key":"CIT0008","unstructured":"Holdcroft K. Come on and SLAM: Analysis of the impact of field of view on wide-angle cameras in SLAM. Stockholm; 2018."},{"key":"CIT0009","unstructured":"Rituerto A, Guerrero JJ, Puig L. Comparison of omnidirectional and conventional monocular systems for visual SLAM. Mmnivis with Rss. 2012."},{"key":"CIT0010","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2018.03.007"},{"key":"CIT0011","unstructured":"Koch R, Koeser K, Streckel B, et\u00a0al. Markerless image-based 3D tracking for real-time augmented reality applications. Workshop on Image Analysis for Multimedia Interactive Services; 2005."},{"key":"CIT0012","doi-asserted-by":"crossref","unstructured":"Ramezani M, Khoshelham K, Kneip L. Omnidirectional visual-odometry using multi-state constraint kalman filter. IEEE\/RSJ International Conference on Intelligent Robots and Systems; 2017 Sept 24\u201328; Vancouver.","DOI":"10.1109\/IROS.2017.8202308"},{"key":"CIT0013","doi-asserted-by":"crossref","unstructured":"Li L, Liu YH, Wang K. A simple algorithm for position and velocity estimation of mobile robots using omnidirectional vision and inertial sensors. IEEE International Conference on Robotics and Biomimetics; 2014 Dec 5\u201310; Bali.","DOI":"10.1109\/ROBIO.2014.7090502"},{"key":"CIT0014","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2855443"},{"key":"CIT0015","unstructured":"Tardif JP, Pavlidis Y, Daniilidis K. Monocular visual odometry in urban environments using an omnidirectional camera. IEEE\/RSJ International Conference on Intelligent Robots and Systems; 2018 Sept 22\u201326; Nice."},{"key":"CIT0016","unstructured":"Urban S, Hinz S. Multicol-SLAM: a modular real-time multi-camera SLAM system. arXiv:1610.07336v1, 2016."},{"key":"CIT0017","doi-asserted-by":"crossref","unstructured":"Seok H, Lim J. ROVO: Robust omnidirectional visual odometry for wide-baseline wide-FOV camera systems. arXiv:1902.11154v2, 2019.","DOI":"10.1109\/ICRA.2019.8793758"},{"key":"CIT0018","doi-asserted-by":"crossref","unstructured":"Heng L, Choi B. Semi-direct visual odometry for a fisheye-stereo camera. IEEE\/RSJ International Conference on Intelligent Robots and Systems; 2017 Oct 9\u201314; Daejeon.","DOI":"10.1109\/IROS.2016.7759600"},{"key":"CIT0019","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2015.2478660"},{"key":"CIT0020","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2010.02.013"},{"key":"CIT0021","unstructured":"Karami M, Prasad S, Shehata M. Image matching using SIFT, SURF, BRIEF and ORB: Performance comparison for distorted images. Newfoundland Electrical and Computer Engineering Conference; 2015 May 3\u20136; Halifax."},{"key":"CIT0022","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2014.11.008"},{"key":"CIT0023","unstructured":"Huang FS, Song KT. Vision SLAM using omni-directional visual scan matching. International Conference on Intelligent Robots and Systems; 2008 Sept 22\u201326; Nice."},{"key":"CIT0024","doi-asserted-by":"crossref","unstructured":"Zhao Y, Vela PA. Good feature selection for least squares pose optimization in VO\/VSLAM. International Conference on Intelligent Robots and Systems; 2018 Oct 1\u20135; Madrid.","DOI":"10.1109\/IROS.2018.8593641"},{"key":"CIT0025","doi-asserted-by":"crossref","unstructured":"Zhang G, Vela PA. Good feature to track for visual SLAM. IEEE International Conference on Computer Vision and Pattern Recognition; 2015 June 7\u201312; Boston (MA).","DOI":"10.1109\/CVPR.2015.7298743"},{"key":"CIT0026","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2018.2872402"},{"key":"CIT0027","doi-asserted-by":"publisher","DOI":"10.1080\/01691864.2019.1610060"},{"key":"CIT0028","doi-asserted-by":"crossref","unstructured":"Kim P, Coltin B, Kim HJ. Low-Drift Visual odometry in structured environments by decoupling rotational and translational motion. IEEE International Conference on Robotics and Automation; Prague, 2018 Aug 13\u201317; Czech Republic.","DOI":"10.1109\/ICRA.2018.8463207"},{"key":"CIT0029","doi-asserted-by":"crossref","unstructured":"Li H, Yao J, Bazin JC. A monocular SLAM system leveraging structural regularity in manhattan world. IEEE International Conference on Robotics and Automation; 2018 Aug 13\u201317; Prague, Czech Republic.","DOI":"10.1109\/ICRA.2018.8463165"},{"key":"CIT0030","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2623335"},{"key":"CIT0031","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2006.06.007"},{"key":"CIT0032","doi-asserted-by":"crossref","unstructured":"Geneva P, Maley J, Huang G. An efficient Schmidt-EKF for 3D visual-inertial SLAM. IEEE International Conference on Computer Vision and Pattern Recognition; 2019 June 16\u201320 (CA).","DOI":"10.1109\/CVPR.2019.01238"},{"key":"CIT0033","doi-asserted-by":"crossref","unstructured":"Longuet-Higgins HC, Prazdny K. The interpretation of a moving retinal image. Proc. R. Soc. Lond. 1980; 385\u2013397.","DOI":"10.1098\/rspb.1980.0057"},{"key":"CIT0034","doi-asserted-by":"crossref","unstructured":"Chowdhury AR, Chellappa R. Statistical error propagation in 3D modeling from monocular video. Conference on Computer Vision and Pattern Recognition Workshop; 2003 June 16\u201322; Madison (WI).","DOI":"10.1109\/CVPRW.2003.10092"},{"key":"CIT0035","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.153"},{"key":"CIT0036","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2597321"},{"key":"CIT0037","doi-asserted-by":"crossref","unstructured":"Schubert D, Goll T, Demmel N. The TUM VI benchmark for evaluating visual-inertial odometry. International Conference on Intelligent Robots and Systems; 2018 Oct 1\u20135; Madrid.","DOI":"10.1109\/IROS.2018.8593419"}],"container-title":["Advanced Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/01691864.2020.1815573","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,29]],"date-time":"2021-05-29T21:40:58Z","timestamp":1622324458000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/01691864.2020.1815573"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,6]]},"references-count":37,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2020,10,1]]}},"alternative-id":["10.1080\/01691864.2020.1815573"],"URL":"https:\/\/doi.org\/10.1080\/01691864.2020.1815573","relation":{},"ISSN":["0169-1864","1568-5535"],"issn-type":[{"type":"print","value":"0169-1864"},{"type":"electronic","value":"1568-5535"}],"subject":[],"published":{"date-parts":[[2020,9,6]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tadr20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tadr20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2020-02-13","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-07-14","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-08-19","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-09-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}