{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:01:32Z","timestamp":1743030092902,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030511029"},{"type":"electronic","value":"9783030511036"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-51103-6_32","type":"book-chapter","created":{"date-parts":[[2020,7,18]],"date-time":"2020-07-18T14:02:39Z","timestamp":1595080959000},"page":"355-367","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Positioning Accuracy of Indoor and Outdoor Pedestrian Seamless Navigation"],"prefix":"10.1007","author":[{"given":"Kailong","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6294-3149","authenticated-orcid":false,"given":"Huixia","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5444-0285","authenticated-orcid":false,"given":"Hang","family":"Guo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,19]]},"reference":[{"issue":"3","key":"32_CR1","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/CC.2013.6488829","volume":"10","author":"Z Deng","year":"2013","unstructured":"Deng, Z., Yu, Y., Yuan, X., Wan, N., Yang, L.: Situation and development tendency of indoor positioning. China Commun. 10(3), 42\u201355 (2013)","journal-title":"China Commun."},{"key":"32_CR2","volume-title":"Indoor Positioning using FM Radio Signals","author":"A Popleteev","year":"2011","unstructured":"Popleteev, A.: Indoor Positioning using FM Radio Signals. University of Trento, Trento (2011)"},{"key":"32_CR3","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 track-ing using UFIR filter bank. Measurement 123, 1\u20137 (2018)","journal-title":"Measurement"},{"issue":"1","key":"32_CR4","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":"3","key":"32_CR5","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":"4","key":"32_CR6","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."},{"key":"32_CR7","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"},{"issue":"1","key":"32_CR8","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":"32_CR9","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":"32_CR10","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."},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Pany, T., Winkel, J., Riedl, B., Niedermeier, H., Eissfeller, B., W\u00f6rz, T., et al.: Experimental results from an ultra-tightly coupled GPS\/Galileo\/WiFi\/ZigBee\/MEMS-IMU indoor navigation test system featuring coherent integration times of several seconds. In: Satellite Navigation Technologies & European Workshop on GNSS Signals & Signal Processing, pp. 1\u20138. IEEE (2011)","DOI":"10.1109\/NAVITEC.2010.5708020"},{"key":"32_CR12","unstructured":"Stone, J.M., Powell, J.D., Powell, P.J.D.: Precise positioning with GPS near obstructions by augmentation with pseudolites. In: IEEE Position Location and Navigation Symposium, pp. 562\u2013569 (1998)"},{"key":"32_CR13","unstructured":"Sakamoto, Y., Niwa, H., Ebinuma, T., Fujii, K., Sugano, S.: Indoor positioning with pseudolites\u2014the effect of the number of receivers and transmitters. In: Sice Conference, pp. 398\u2013399 (2010)"},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Huang, J., Millman, D., Quigley, M., Stavens, D., Thrun, S., Aggarwal, A.: Efficient, generalized indoor WiFi GraphSLAM. In: 2011 IEEE International Conference on Robotics and Automation, pp. 1038\u20131043. IEEE (2011)","DOI":"10.1109\/ICRA.2011.5979643"},{"key":"32_CR15","unstructured":"Junyong, C.: On the establishment of Chinese modern geodetic coordinate system. Board Geomat. Inf. Sci. Wuhan Univ. 27(5), 441\u201344 (2002)"},{"issue":"1","key":"32_CR16","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s10291-013-0360-6","volume":"19","author":"J Li","year":"2013","unstructured":"Li, J., Yang, Y., Xu, J., He, H., Guo, H.: GNSS multi-carrier fast partial ambiguity resolution strategy tested with real BDS\/GPS dual- and triple-frequency observations. GPS Solut. 19(1), 5\u201313 (2013)","journal-title":"GPS Solut."},{"issue":"9","key":"32_CR17","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1360\/N972014-00789","volume":"60","author":"W Liang","year":"2015","unstructured":"Liang, W., Shen, L.Z., Hong, Y., Kai, Z.: Validation and analysis of the performance of dual-frequency single-epoch BDS\/GPS\/GLONASS relative positioning. Chin. Sci. Bull. 60(9), 857 (2015). Opto-Electronics, A.O.","journal-title":"Chin. Sci. Bull."},{"issue":"2","key":"32_CR18","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.inffus.2004.07.002","volume":"7","author":"F Caron","year":"2016","unstructured":"Caron, F., Duflos, E., Pomorski, D., Vanheeghe, P.: GPS\/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects. Information Fusion 7(2), 221\u2013230 (2016)","journal-title":"Information Fusion"},{"issue":"6","key":"32_CR19","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1016\/j.ast.2006.04.002","volume":"10","author":"J Wendel","year":"2006","unstructured":"Wendel, J., Meister, O., Schlaile, C., Trommer, G.F.: An integrated GPS\/MEMS-IMU navigation system for an autonomous helicopter. Aerosp. Sci. Technol. 10(6), 527\u2013533 (2006)","journal-title":"Aerosp. Sci. Technol."},{"key":"32_CR20","doi-asserted-by":"crossref","unstructured":"Jim\u00e9nez, A.R., Seco, F., Prieto, J.C., Guevara, J.: Indoor pedestrian navigation using an INS\/EKF framework for yaw drift reduction and a foot-mounted IMU. In: 2010 7th Workshop on Positioning, Navigation and Communication, pp. 1\u20139. IEEE (2010)","DOI":"10.1109\/WPNC.2010.5649300"}],"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\/978-3-030-51103-6_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T01:43:01Z","timestamp":1619228581000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-51103-6_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030511029","9783030511036"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-51103-6_32","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"19 July 2020","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":"Leicester","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 April 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icmtel2020","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":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"confyplus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"158","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":"83","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":"53% - 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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic all papers were presented in YouTubeLive.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}