{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:42:52Z","timestamp":1743054172150,"version":"3.40.3"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031138409"},{"type":"electronic","value":"9783031138416"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-13841-6_26","type":"book-chapter","created":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T14:04:51Z","timestamp":1660053891000},"page":"272-283","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Jacobian Estimation with\u00a0Adaptive Kalman Filter for\u00a0Uncalibrated Visual Servoing"],"prefix":"10.1007","author":[{"given":"Jiangping","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoxu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shirong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,10]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Heshmati-Alamdari, S., Karras, G.C., Eqtami, A., et al.: A robust self triggered image based visual servo model predictive control scheme for small autonomous robots. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 5492\u20135497 (2015)","DOI":"10.1109\/IROS.2015.7354155"},{"issue":"1","key":"26_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.robot.2008.04.002","volume":"57","author":"L Pari","year":"2009","unstructured":"Pari, L., Angel, L., Traslosheros, A.: Uncalibrated visual servo using the fundamental matrix. Robot. Auton. Syst. 57(1), 1\u201310 (2009)","journal-title":"Robot. Auton. Syst."},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Li, B., Fang, Y., Zhang, X.: Projection homography based uncalibrated visual servo of wheeled mobile robots. In: Proceedings of the IEEE Conference on Decision and Control, pp. 2167\u20132172 (2014)","DOI":"10.1109\/CDC.2014.7039719"},{"issue":"2","key":"26_CR4","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1109\/TASE.2017.2702195","volume":"15","author":"Z Gong","year":"2018","unstructured":"Gong, Z., Tao, B., Yang, H.: An uncalibrated visual servo method based on projective homography. IEEE Trans. Autom. Sci. Eng. 15(2), 806\u2013817 (2018)","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"26_CR5","unstructured":"Qian, J., Su, J.: Online estimation of image Jacobian matrix by Kalman-Bucy filter for uncalibrated stereo vision feedback. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 562\u2013567 (2002)"},{"issue":"2","key":"26_CR6","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1109\/TAC.2017.2730480","volume":"63","author":"Y Huang","year":"2017","unstructured":"Huang, Y., Zhang, Y., Wu, Z., et al.: A novel adaptive Kalman filter with inaccurate process and measurement noise covariance matrices. IEEE Trans. Autom. Control 63(2), 594\u2013601 (2017)","journal-title":"IEEE Trans. Autom. Control"},{"issue":"7","key":"26_CR7","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.3390\/s16071073","volume":"16","author":"J Sun","year":"2016","unstructured":"Sun, J., Xu, X., Liu, Y., et al.: FOG random drift signal denoising based on the improved AR model and modified Sage-Husa adaptive Kalman filter. Sensors 16(7), 1073\u20131091 (2016)","journal-title":"Sensors"},{"issue":"11","key":"26_CR8","doi-asserted-by":"publisher","first-page":"6253","DOI":"10.1109\/TIE.2014.2301756","volume":"61","author":"B Feng","year":"2014","unstructured":"Feng, B., Fu, M., Ma, H., et al.: Kalman filter with recursive covariance estimation-sequentially estimating process noise covariance. IEEE Trans. Ind. Electron. 61(11), 6253\u20136263 (2014)","journal-title":"IEEE Trans. Ind. Electron."},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Fu, Q., Zhang, Z., Shi, J., et al.: Uncalibrated visual servo with obstacle avoidance using SQP method. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2031\u20132036 (2009)","DOI":"10.1109\/ICMA.2009.5246303"}],"container-title":["Lecture Notes in Computer Science","Intelligent Robotics and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-13841-6_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T23:44:20Z","timestamp":1660607060000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-13841-6_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031138409","9783031138416"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-13841-6_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 August 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIRA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Robotics and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Harbin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icira2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icira2022.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"442","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"284","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}