{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:22:35Z","timestamp":1742923355271,"version":"3.40.3"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030825614"},{"type":"electronic","value":"9783030825621"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-82562-1_39","type":"book-chapter","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T16:49:46Z","timestamp":1635958186000},"page":"414-426","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Indoor Positioning and Navigation Methods Based on Mobile Phone Camera"],"prefix":"10.1007","author":[{"given":"Min","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaohao","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hailei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huixia","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hang","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,22]]},"reference":[{"key":"39_CR1","doi-asserted-by":"crossref","unstructured":"Brito, J.H., Angst, R., K\u00f6ser, K., et al.: Radial Distortion Self-Calibration, Computer Vision and Pattern Recognition, pp. 1368\u20131375. IEEE, June 2013","DOI":"10.1109\/CVPR.2013.180"},{"issue":"1","key":"39_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10851-012-0342-2","volume":"45","author":"F Bukhari","year":"2013","unstructured":"Bukhari, F., Dailey, M.N.: Automatic radial distortion estimation from a single image. J. Math. Imaging Vis. 45(1), 1\u201345 (2013)","journal-title":"J. Math. Imaging Vis."},{"key":"39_CR3","doi-asserted-by":"crossref","unstructured":"Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM\u00a024,\n381\u2013395 (1981)","DOI":"10.1145\/358669.358692"},{"issue":"2","key":"39_CR4","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1109\/34.908965","volume":"23","author":"PD Fiore","year":"2011","unstructured":"Fiore, P.D.: Efficient linear solution of exterior orientation. IEEE Trans. Pattern Anal. Mach. Intell. 23(2), 140\u2013148 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"39_CR5","doi-asserted-by":"crossref","unstructured":"Shi, B., Matsushita, Y., Wei, Y., Xu, C., Tan, P.: Self-calibrating photometric\nstereo. In: IEEE Conference on computer vision and pattern recognition (CVPR) - San\nFrancisco, CA, USA (2010.06.13-2010.06.18), pp. 1118\u20131125 (2010)","DOI":"10.1109\/CVPR.2010.5540091"},{"issue":"12","key":"39_CR6","doi-asserted-by":"publisher","first-page":"2024","DOI":"10.1109\/TPAMI.2006.252","volume":"28","author":"G Schweighofer","year":"2006","unstructured":"Schweighofer, G., Pinz, A.: Robust pose estimation from a planar target. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 2024\u20132030 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"39_CR7","doi-asserted-by":"crossref","unstructured":"Strobl,K.H., Hirzinger,G.: More accurate pinhole camera calibration with imperfect planar target. IEEE Int. Conf. Comput. Vis. Workshops 1068\u20131075 (2011)","DOI":"10.1109\/ICCVW.2011.6130369"},{"key":"39_CR8","volume-title":"Computer Vision-The Theory of Computer and Basis of Algorithm","author":"SD Ma","year":"1997","unstructured":"Ma, S.D., Zhang, Z.Y.: Computer Vision-The Theory of Computer and Basis of Algorithm. Science Press, China (1997)"},{"key":"39_CR9","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1109\/ICPR.2002.1044757","volume":"1","author":"S Kuthirummal","year":"2002","unstructured":"Kuthirummal, S., Jawahar, C.V., Narayanan, P.J.: Planar shape recognition across multiple views. Int. Conf. Patt. Recogn. 1, 456\u2013459 (2002)","journal-title":"Int. Conf. Patt. Recogn."},{"issue":"12","key":"39_CR10","doi-asserted-by":"publisher","first-page":"2410","DOI":"10.1109\/TPAMI.2011.86","volume":"33","author":"Z Kukelova","year":"2011","unstructured":"Kukelova, Z., Pajdla, T.: A minimal solution to radial distortion autocalibration. IEEE Trans. Pattern Anal. Mach. Intell. 33(12), 2410\u20132422 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"39_CR11","doi-asserted-by":"crossref","unstructured":"Jain, P.K., Jawahar, C.V.: Homography estimation from planar contours. In: The Third International Symposium on 3D Date Processing Visualization and Transmission, pp. 877\u2013884 (2006)","DOI":"10.1109\/3DPVT.2006.77"},{"key":"39_CR12","unstructured":"Kanatani, K., Ohta, N., Kanazawa, Y.: Optimal homography computation with a reliability measure. In: IAPR workshop on Machine Vision Applications, pp. 426\u2013429 (1998)"},{"key":"39_CR13","unstructured":"Liu, R., Ruan, Z.C., Wei, S.: Algorithm research on monochronous matrix in plane measurement. J. Syst. Simul. 13(suppl.), 174\u2013176 (2011)"},{"issue":"7","key":"39_CR14","first-page":"1539","volume":"7","author":"YX Wang","year":"2012","unstructured":"Wang, Y.X., Ma, Y., Chen, Q.X.: A method of line matching based on feature points. J. Softw. 7(7), 1539\u20131545 (2012)","journal-title":"J. Softw."},{"key":"39_CR15","volume-title":"Robot Vision Measurement and Control","author":"D Xu","year":"2008","unstructured":"Xu, D., Tan, M., Li, Y.: Robot Vision Measurement and Control. National Defense Industry Press, China (2008)"},{"key":"39_CR16","unstructured":"Xu, D., Tan, M., Li, Y.: Visual Measurement and Control for Robots. National Defense Industry Press, China, pp. 35\u201339 (2011)"},{"key":"39_CR17","unstructured":"Liu, R., Wei, S.: Research on plane Measurement method based on Image. M.S. thesis, Elect. Inf. Eng., University of Anhui, Anhui, China (2002)"},{"issue":"5","key":"39_CR18","doi-asserted-by":"publisher","first-page":"1110","DOI":"10.3788\/OPE.20111905.1110","volume":"19","author":"YX Han","year":"2011","unstructured":"Han, Y.X., Zhang, Z.C., Dai, M.: Monocular vision measurement method for target ranging. Opt. Precis. Eng. 19(5), 1110\u20131117 (2011)","journal-title":"Opt. Precis. Eng."},{"key":"39_CR19","doi-asserted-by":"crossref","unstructured":"Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision: Camera Models. Cambridge University Press, vol. 30 (9\u201310), pp. 1865\u20131872 (2004)","DOI":"10.1017\/CBO9780511811685"},{"issue":"21","key":"39_CR20","doi-asserted-by":"publisher","first-page":"1246","DOI":"10.1049\/el:20081165","volume":"44","author":"Y Zhang","year":"2008","unstructured":"Zhang, Y., Liu, Y.: Closed-from solution for circle pose estimation using binocular stereo vision. Electron. Lett. 44(21), 1246\u20131247 (2008)","journal-title":"Electron. Lett."},{"issue":"3","key":"39_CR21","first-page":"82","volume":"4","author":"QD Zhang","year":"2016","unstructured":"Zhang, Q.D., Fan, J.S.: Application and development of satellite navigation and positioning technology in China. J. Navig. Positioning 4(3), 82\u201388 (2016)","journal-title":"J. Navig. Positioning"},{"key":"39_CR22","doi-asserted-by":"crossref","unstructured":"Dwiyasa, F., Lim, M.H.: A survey of problems and approaches in wireless-based indoor positioning. In: International Conference on Indoor Positioning and Indoor Navigation, pp. 1\u20137. IEEE (2016)","DOI":"10.1109\/IPIN.2016.7743591"},{"issue":"6","key":"39_CR23","first-page":"770","volume":"47","author":"KC Di","year":"2018","unstructured":"Di, K.C., Wan, W.H., Zhao, H.Y., et al.: Progress and applications of visual SLAM. Acta Geodaetica et Cartographica Sinica 47(6), 770\u2013779 (2018)","journal-title":"Acta Geodaetica et Cartographica Sinica"},{"issue":"3","key":"39_CR24","doi-asserted-by":"publisher","first-page":"839","DOI":"10.3390\/s18030839","volume":"18","author":"HX Li","year":"2018","unstructured":"Li, H.X., Wen, X., Guo, H., et al.: Research into Kinect\/Inertial Measurement Units Based on Indoor Robots. Sensors 18(3), 839 (2018)","journal-title":"Sensors"},{"issue":"S1","key":"39_CR25","first-page":"45","volume":"35","author":"XL Chen","year":"2014","unstructured":"Chen, X.L.: Research of attitude calculation of single camera visual system. Chin. J. Sci. Instrument 35(S1), 45\u201348 (2014)","journal-title":"Chin. J. Sci. Instrument"},{"key":"39_CR26","doi-asserted-by":"crossref","unstructured":"Feng, K.Q., Li, J., Zhang, X.M., et al.: A new quaternion-based Kalman filter for real-time attitude estimation using the two-step geometrically-intuitive correction algorithm. Sensors 17(9), 2146 (2017)","DOI":"10.3390\/s17092146"},{"issue":"1","key":"39_CR27","first-page":"6","volume":"26","author":"HH Song","year":"2018","unstructured":"Song, H.H., Yu, G.X., Qu, Y.B.: Monitoring and forecasting system for ship attitude motion based on extended Kalman filtering algorithm. J. Chin. Inertial Technol. 26(1), 6\u201312 (2018)","journal-title":"J. Chin. Inertial Technol."},{"key":"39_CR28","unstructured":"Li, J., et al.: High-precision attitude measurement algorithm based on complementary filtering and Kalman filtering. J. Chin. Inertial Technol. 26(1), 51\u201355+86 (2018)"},{"key":"39_CR29","doi-asserted-by":"crossref","unstructured":"Mu, X.F., Chen, J., Zhou, Z.X., et al.: accurate initial state estimation in a monocular visual \u2013 inertial SLAM system. Sensor 18(2), 506 (2018)","DOI":"10.3390\/s18020506"},{"issue":"3","key":"39_CR30","doi-asserted-by":"publisher","first-page":"1346","DOI":"10.1016\/j.ijleo.2013.08.004","volume":"125","author":"G Feng","year":"2014","unstructured":"Feng, G., Huang, X.: Observability analysis of navigation system using point-based visual and inertial sensors. Optik \u2013 Int. J. Light Electron Opt. 125(3), 1346\u20131353 (2014)","journal-title":"Optik \u2013 Int. J. Light Electron Opt."},{"key":"39_CR31","doi-asserted-by":"publisher","first-page":"908","DOI":"10.1016\/j.measurement.2018.12.038","volume":"134","author":"H Guo","year":"2019","unstructured":"Guo, H., Li, H., Xiong, J., Yu, M.: Indoor positioning system based on particle swarm optimization algorithm. Measurement 134, 908\u2013913 (2019)","journal-title":"Measurement"},{"key":"39_CR32","doi-asserted-by":"crossref","unstructured":"Guo, H., Tian, B.L., Yu, M., Deng, L.K., Wang, H.T.: Improved ambiguity searching method of ultra-short baseline with nonlinear constraint. In: Proceedings of the 2018 International Technical Meeting of the Institute of Navigation, Reston, Virginia, pp. 46\u201355 (2018)","DOI":"10.33012\/2018.15545"},{"key":"39_CR33","doi-asserted-by":"crossref","unstructured":"Guo, H., Uradzinski, M.: The usability of MTI IMU sensor data in PDR indoor positioning. In: 2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS 2018), May 2018","DOI":"10.23919\/ICINS.2018.8405864"},{"key":"39_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.measurement.2018.03.043","volume":"123","author":"Y Xu","year":"2018","unstructured":"Xu, Y., Ahn, C.K., Shmaliy, Y.S., et al.: Adaptive robust INS\/UWB-integrated human tracking using UFIR filter bank. Measurement 123, 1\u20137 (2018)","journal-title":"Measurement"},{"issue":"1","key":"39_CR35","doi-asserted-by":"publisher","first-page":"34189","DOI":"10.1109\/ACCESS.2019.2903435","volume":"7","author":"Y Xu","year":"2019","unstructured":"Xu, Y., Shmaliy, Y.S., Li, Y., Chen, X., Guo, H.: Indoor ins\/lidar-based robot localization with improved robustness using cascaded fir filter. IEEE Access 7(1), 34189\u201334197 (2019)","journal-title":"IEEE Access"},{"key":"39_CR36","doi-asserted-by":"publisher","first-page":"64461","DOI":"10.1109\/ACCESS.2018.2878101","volume":"6","author":"Y Xu","year":"2018","unstructured":"Xu, Y., Tian, G., Chen, X.: Enhancing INS\/UWB integrated position estimation using federated EFIR filtering. IEEE Access 6, 64461\u201364469 (2018)","journal-title":"IEEE Access"},{"issue":"4","key":"39_CR37","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1177\/0959651818754977","volume":"232","author":"Y Xu","year":"2018","unstructured":"Xu, Y., Karimi, H.R., Li, Y.Y., Zhou, F.Y., Bu, L.L.: Real-time accurate pedestrian tracking using EFIR filter bank for tightly coupling recent inertial navigation system and ultra-wideband measurements. Proc. Inst. Mech. Eng. Part I-J. Syst. Control Eng. 232(4), 464\u2013472 (2018)","journal-title":"Proc. Inst. Mech. Eng. Part I-J. Syst. Control Eng."},{"issue":"4","key":"39_CR38","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1177\/0959651817711627","volume":"232","author":"Y Xu","year":"2018","unstructured":"Xu, Y., Chen, X.: Online cubature Kalman filter Rauch\u2013Tung\u2013Striebel smoothing for indoor inertial navigation system\/ultrawideband integrated pedestrian navigation. Proc. Inst. Mech. Eng. Part I-J. Syst. Control Eng. 232(4), 390\u2013398 (2018)","journal-title":"Proc. Inst. Mech. Eng. Part I-J. Syst. Control Eng."},{"issue":"1","key":"39_CR39","doi-asserted-by":"publisher","first-page":"16676","DOI":"10.1109\/ACCESS.2017.2743213","volume":"5","author":"Y Xu","year":"2017","unstructured":"Xu, Y., Shmaliy, Y.S., Li, Y., Chen, X.: UWB-based indoor human localization with time-delayed data using EFIR filtering. IEEE Access 5(1), 16676\u201316683 (2017)","journal-title":"IEEE Access"},{"issue":"6","key":"39_CR40","first-page":"58","volume":"28","author":"M Uradzinski","year":"2017","unstructured":"Uradzinski, M., Guo, H., Mugnier, C.: Checking the accuracy of an inertial-based pedestrian navigation system with a drone. GPS World 28(6), 58\u201364 (2017)","journal-title":"GPS World"},{"issue":"4","key":"39_CR41","doi-asserted-by":"publisher","first-page":"6509","DOI":"10.1007\/s11277-017-4852-5","volume":"97","author":"M Uradzinski","year":"2017","unstructured":"Uradzinski, M., Guo, H., Liu, X., Yu, M.: Advanced indoor positioning using Zigbee wireless technology. Wireless Pers. Commun. 97(4), 6509\u20136518 (2017). https:\/\/doi.org\/10.1007\/s11277-017-4852-5","journal-title":"Wireless Pers. Commun."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Multimedia Technology and Enhanced Learning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-82562-1_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T16:50:05Z","timestamp":1635958205000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-82562-1_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030825614","9783030825621"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-82562-1_39","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"22 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICMTEL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Technology and Enhanced Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 April 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icmtel2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icmtel.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":"EAI confyplus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"208","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":"97","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":"47% - 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":"2","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)"}}]}}