{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T04:04:20Z","timestamp":1771301060643,"version":"3.50.1"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030504359","type":"print"},{"value":"9783030504366","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-50436-6_25","type":"book-chapter","created":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T19:03:44Z","timestamp":1592593424000},"page":"340-352","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Path Markup Language for Indoor Navigation"],"prefix":"10.1007","author":[{"given":"Yang","family":"Cai","sequence":"first","affiliation":[]},{"given":"Florian","family":"Alber","sequence":"additional","affiliation":[]},{"given":"Sean","family":"Hackett","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,6,15]]},"reference":[{"key":"25_CR1","unstructured":"Keyhole Markup Language (KML). https:\/\/developers.google.com\/kml"},{"key":"25_CR2","unstructured":"Open Geospatial Consortium (OGC). https:\/\/www.opengeospatial.org\/standards\/kml\/"},{"key":"25_CR3","unstructured":"OpenStreetMap. https:\/\/www.openstreetmap.org\/#map=5\/38.007\/-95.844"},{"key":"25_CR4","unstructured":"Military Grid Reference System. https:\/\/en.wikipedia.org\/wiki\/Military_Grid_Reference_System"},{"key":"25_CR5","unstructured":"GeoTiff, WikiPedia. https:\/\/en.wikipedia.org\/wiki\/GeoTIFF"},{"key":"25_CR6","unstructured":"HDF. https:\/\/nsidc.org\/data\/hdfeos\/intro.html"},{"key":"25_CR7","unstructured":"CityGML. https:\/\/www.opengeospatial.org\/standards\/citygml"},{"key":"25_CR8","unstructured":"IndoorGML. http:\/\/www.indoorgml.net\/"},{"key":"25_CR9","unstructured":"Schema of OGC CityML. http:\/\/schemas.opengis.net\/citygml\/building\/2.0\/building.xsd"},{"key":"25_CR10","unstructured":"OGC Hosts Indoor Location and Floor Plan Standards Forum. https:\/\/www.opengeospatial.org\/pressroom\/pressreleases\/1122"},{"key":"25_CR11","unstructured":"ARML. https:\/\/www.opengeospatial.org\/standards\/arml"},{"key":"25_CR12","unstructured":"Dead Reckoning. https:\/\/en.wikipedia.org\/wiki\/Dead_reckoning"},{"key":"25_CR13","unstructured":"Xiao, Z., Wen, H., Markham, A., Trigoni, N.: Robust Indoor Positioning with Lifelong Learning. https:\/\/www.cs.ox.ac.uk\/files\/9047\/Xiao%20et%20al.%202015.pdf"},{"key":"25_CR14","unstructured":"Cai, Y., Hackett, S., Alber, F.: Heads-Up LiDAR imaging, to appear on IS&T, Electronic Imaging Conference, 20 January 2020"},{"key":"25_CR15","unstructured":"Lin, Q., An, Z., Yang, L.: Rebooting ultrasonic positioning systems for ultrasound-incapable smart devices. https:\/\/arxiv.org\/pdf\/1812.02349.pdf"},{"key":"25_CR16","unstructured":"Indoor positioning via LoRaWAN, indoornavigation.com. https:\/\/www.indoornavigation.com\/wiki-en\/indoor-positioning-via-lorawan"},{"key":"25_CR17","unstructured":"WiFi positioning system, WikiPedia. https:\/\/en.wikipedia.org\/wiki\/Wi-Fi_positioning_system"},{"key":"25_CR18","unstructured":"Zafari, F., Gkelias, A., Leung, K.K.: A survey of indoor localization systems and technologies. arXiv: https:\/\/arxiv.org\/pdf\/1709.01015.pdf"},{"key":"25_CR19","doi-asserted-by":"crossref","unstructured":"Wang, Q., Lou, H., Men, A., Zhao, F.: An infrastructure-free indoor localization algorithm on smartphone. Sensors 18(10), 3317. https:\/\/www.researchgate.net\/publication\/328067193_An_Infrastructure-Free_Indoor_Localization_Algorithm_for_Smartphones","DOI":"10.3390\/s18103317"},{"key":"25_CR20","doi-asserted-by":"crossref","unstructured":"Noh, Y., Yamaguchi, H., Lee, U.: Infrastructure-free collaborative indoor positioning schema for time-critical team operations. IEEE Trans. SMC. 48(3) (2018). https:\/\/ieeexplore.ieee.org\/abstract\/document\/7747408","DOI":"10.1109\/TSMC.2016.2615652"},{"key":"25_CR21","unstructured":"SLAM, WikiPedia. https:\/\/en.wikipedia.org\/wiki\/Simultaneous_localization_and_mapping"},{"key":"25_CR22","unstructured":"Mathworks. Implement SLAM with Lidar Scans (2020). https:\/\/www.mathworks.com\/help\/nav\/ug\/implement-simultaneous-localization-and-mapping-with-lidar-scans.html"},{"key":"25_CR23","unstructured":"Shin, Y.S., Kim, A.: Sparse depth enhanced direct thermal-infrared SLAM beyond the visible spectrum. arXiv:1902.10892"},{"key":"25_CR24","unstructured":"DJI Mavic Pro manual. https:\/\/dl.djicdn.com\/downloads\/mavic\/20171219\/Mavic%20Pro%20User%20Manual%20V2.0.pdf"},{"key":"25_CR25","doi-asserted-by":"crossref","unstructured":"Sato, D., Oh, U., Naito, K., Takagi, H., Kitani, K., Asakawa, C.: NavCog3: an evaluation of a smartphone-based blind indoor navigation assistant with semantic features in a large-scale environment. In: ASSET 2017, Baltimore, MD, USA, 29 October\u20131 November 2017. https:\/\/www.ri.cmu.edu\/wp-content\/uploads\/2018\/01\/p270-sato.pdf","DOI":"10.1145\/3132525.3132535"},{"key":"25_CR26","volume-title":"Supernavigators: Exploring the Wonders of How Animals Find Their Way","author":"D Barrie","year":"2019","unstructured":"Barrie, D.: Supernavigators: Exploring the Wonders of How Animals Find Their Way. The Experiment, LLC, New York (2019)"},{"key":"25_CR27","unstructured":"Google, Android Developer API references. https:\/\/developer.android.com\/reference"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50436-6_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T23:04:32Z","timestamp":1718751872000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-50436-6_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030504359","9783030504366"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50436-6_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"15 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","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":"3 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2020\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"230","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":"98","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":"3","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":"43% - 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":"2.5","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":"4","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)"}},{"value":"248 workshop papers were selected from 489 submissions to the thematic tracks. The conference was canceled due to the COVID-19 pandemic.","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)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}