{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T02:12:28Z","timestamp":1775873548240,"version":"3.50.1"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031192135","type":"print"},{"value":"9783031192142","type":"electronic"}],"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\/978-3-031-19214-2_13","type":"book-chapter","created":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T00:03:45Z","timestamp":1668643425000},"page":"155-167","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["BatMapper-Plus: Smartphone-Based Multi-level Indoor Floor Plan Construction via\u00a0Acoustic Ranging and\u00a0Inertial Sensing"],"prefix":"10.1007","author":[{"given":"Chuize","family":"Meng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shan","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengning","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Tao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruipeng","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,17]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Wang, X., Marcotte, R.J., Olson, E.: Glfp: Global localization from a floor plan. In: Proceedings of IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1627\u20131632 (2019)","DOI":"10.1109\/IROS40897.2019.8968061"},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Anderson, R., Curro, J.: Indoor navigation using convolutional neural networks and floor plans. In: Proceedings of ION GNSS+, pp. 2133\u20132150 (2021)","DOI":"10.33012\/2021.18067"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Harithas, S.S., Pardia, B.: Gennav: a generic indoor navigation system for mobile robots. In: Proceedings of IEEE I-SMAC, pp. 182\u2013187 (2020)","DOI":"10.1109\/I-SMAC49090.2020.9243504"},{"issue":"6","key":"13_CR4","doi-asserted-by":"publisher","first-page":"1427","DOI":"10.1109\/TMC.2016.2550040","volume":"15","author":"R Gao","year":"2016","unstructured":"Gao, R., et al.: Multi-story indoor floor plan reconstruction via mobile crowdsensing. IEEE Trans. Mob. Comput. 15(6), 1427\u20131442 (2016)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Zhou, B., Elbadry, M., Gao, R., Ye, F.: Batmapper: acoustic sensing based indoor floor plan construction using smartphones. In: Proceedings of ACM MobiSys, pp. 42\u201355 (2017)","DOI":"10.1145\/3081333.3081363"},{"issue":"2","key":"13_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3214278","volume":"2","author":"S Pradhan","year":"2018","unstructured":"Pradhan, S., Baig, G., Mao, W., Qiu, L., Chen, G., Yang, B.: Smartphone-based acoustic indoor space mapping. Proc. ACM on Interact. Mobile Wearable Ubiquit. Technol. 2(2), 1\u201326 (2018)","journal-title":"Proc. ACM on Interact. Mobile Wearable Ubiquit. Technol."},{"issue":"16","key":"13_CR7","doi-asserted-by":"publisher","first-page":"12955","DOI":"10.1109\/JIOT.2021.3064342","volume":"8","author":"R Gao","year":"2021","unstructured":"Gao, R., et al.: Glow in the dark: smartphone inertial odometry for vehicle tracking in gps blocked environments. IEEE Internet Things J. 8(16), 12955\u201312967 (2021)","journal-title":"IEEE Internet Things J."},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Alzantot, M., Youssef, M.: Crowdinside: automatic construction of indoor floorplans. In: Proceedings of GIS, pp. 99\u2013108 (2012)","DOI":"10.1145\/2424321.2424335"},{"issue":"6","key":"13_CR9","doi-asserted-by":"publisher","first-page":"4351","DOI":"10.1109\/JIOT.2018.2863688","volume":"5","author":"Z Peng","year":"2018","unstructured":"Peng, Z., Gao, S., Xiao, B., Wei, G., Guo, S., Yang, Y.: Indoor floor plan construction through sensing data collected from smartphones. IEEE Internet Things J. 5(6), 4351\u20134364 (2018)","journal-title":"IEEE Internet Things J."},{"issue":"11","key":"13_CR10","doi-asserted-by":"publisher","first-page":"2678","DOI":"10.3390\/s17112678","volume":"17","author":"H Luo","year":"2017","unstructured":"Luo, H., Zhao, F., Jiang, M., Ma, H., Zhang, Y.: Constructing an indoor floor plan using crowdsourcing based on magnetic fingerprinting. Sensors 17(11), 2678 (2017)","journal-title":"Sensors"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Chen, S., Li, M., Ren, K., Fu, X., Qiao, C.: Rise of the indoor crowd: reconstruction of building interior view via mobile crowdsourcing. In: Proceedings of ACM SenSys, pp. 59\u201371 (2015)","DOI":"10.1145\/2809695.2809702"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Philipp, D., et al.: Mapgenie: grammar-enhanced indoor map construction from crowd-sourced data. In: Proceedings of IEEE PerCom, pp. 139\u2013147. IEEE (2014)","DOI":"10.1109\/PerCom.2014.6813954"},{"issue":"4","key":"13_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3432195","volume":"4","author":"W Mao","year":"2020","unstructured":"Mao, W., Sun, W., Wang, M., Qiu, L.: Deeprange: acoustic ranging via deep learning. Proceed. ACM Interact. Mobile Wearable Ubiquit. Technol. 4(4), 1\u201323 (2020)","journal-title":"Proceed. ACM Interact. Mobile Wearable Ubiquit. Technol."},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Liu, Z., Chen, R., Feng Ye, F., Guo, G., Li, Z., Qian, L.: Improved toa estimation method for acoustic ranging in a reverberant environment. IEEE Sens. J. 2, 4844\u20134852 (2020)","DOI":"10.1109\/JSEN.2020.3036170"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Graham, D., Simmons, G., Nguyen, D.T., Zhou. G.: A software-based sonar ranging sensor for smart phones. IEEE Internet Things J. 2(6), 479\u2013489, 2015","DOI":"10.1109\/JIOT.2015.2408451"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, H., Du, W., Zhou, P., Li, M., Mohapatra. P.: Dopenc: acoustic-based encounter profiling using smartphones. In: Proceedings of ACM MobiCom, pp. 294\u2013307 (2016)","DOI":"10.1145\/2973750.2973775"},{"key":"13_CR17","unstructured":"Shen, G., Chen, Z., Zhang, P., Moscibroda, T., Zhang, Y.: $$\\{$$Walkie-Markie$$\\}$$: indoor pathway mapping made easy. In: Proceedings of USENIX NSDI, pp. 85\u201398 (2013)"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Rai, A., Chintalapudi, K.K., Padmanabhan, V.N., Sen, R.: Zee: zero-effort crowdsourcing for indoor localization. In: Proceedings of ACM MobiCom, pp. 293\u2013304 (2012)","DOI":"10.1145\/2348543.2348580"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Zhao, M., Ye, T., Gao, R., Ye, F., Wang, Y., Luo, G.: Vetrack: real time vehicle tracking in uninstrumented indoor environments. In: Proceedings of ACM SenSys, pp. 99\u2013112 (2015)","DOI":"10.1145\/2809695.2809726"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez del Horno, M., Orozco-Barbosa, L., Garc\u00eda-Varea, I.: A smartphone-based multimodal indoor tracking system. Inf. Fusion 76, 36\u201345 (2021)","DOI":"10.1016\/j.inffus.2021.05.001"},{"key":"13_CR21","doi-asserted-by":"crossref","unstructured":"Wu, C., Zhang, F., Wang, B., Liu, K.J.R.: Easitrack: decimeter-level indoor tracking with graph-based particle filtering. IEEE Internet Things J. 7(3), 2397\u20132411, 2019","DOI":"10.1109\/JIOT.2019.2958040"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Gong, J., Zhang, X., Yuanjun Huang, J., Zhang, R.Y.: Robust inertial motion tracking through deep sensor fusion across smart earbuds and smartphone. Proc. ACM Interact. Mobile Wearable Ubiquit. Technol. 5(2), 1\u201326 (2021)","DOI":"10.1145\/3463517"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Alloulah M., Tuominen, L.: Imulet: a cloudlet for inertial tracking. In: Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications, pp. 50\u201356 (2021)","DOI":"10.1145\/3446382.3448364"}],"container-title":["Lecture Notes in Computer Science","Wireless Algorithms, Systems, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-19214-2_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T00:18:09Z","timestamp":1668644289000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-19214-2_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031192135","9783031192142"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-19214-2_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"17 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WASA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Wireless Algorithms, Systems, and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dalian","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":"24 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wasa2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wasa-conference.org\/WASA2022\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"265","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":"95","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":"62","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":"36% - 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":"4","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":"8","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)"}}]}}