{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T16:06:05Z","timestamp":1774281965574,"version":"3.50.1"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031234729","type":"print"},{"value":"9783031234736","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.springernature.com\/gp\/researchers\/text-and-data-mining"},{"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.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-23473-6_12","type":"book-chapter","created":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T02:36:12Z","timestamp":1672540572000},"page":"145-156","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Visual Indoor Navigation Using Mobile Augmented Reality"],"prefix":"10.1007","author":[{"given":"Han","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengsi","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenqing","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyao","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liu","family":"Sen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Sheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,1]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Satan, A.: Bluetooth-based indoor navigation mobile system. In: 2018 19th International Carpathian Control Conference (ICCC). IEEE, pp. 332\u2013337 (2018).","DOI":"10.1109\/CarpathianCC.2018.8399651"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Singh, A., Shreshthi, Y., Waghchoure, N., et al.: Indoor navigation system using bluetooth low energy beacons. In: 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA). IEEE, pp. 1\u20135 (2018)","DOI":"10.1109\/ICCUBEA.2018.8697351"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Nagarajan, B., Shanmugam, V., Ananthanarayanan, V., et al.: Localization and indoor navigation for visually impaired using Bluetooth low energy. In: Somani, A.K., Shekhawat, R.S., Mundra, A., Srivastava, S., Verma, V.K. (eds.) Smart Systems and IoT: Innovations in Computing. Smart Innovation, Systems and Technologies, vol. 141, pp. 249-259. Springer, Singapore. https:\/\/doi.org\/10.1007\/978-981-13-8406-6_25","DOI":"10.1007\/978-981-13-8406-6_25"},{"issue":"3","key":"12_CR4","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1109\/MCOM.2015.7060497","volume":"53","author":"C Yang","year":"2015","unstructured":"Yang, C., Shao, H.R.: Wi-Fi-based indoor positioning. IEEE Commun. Mag. 53(3), 150\u2013157 (2015)","journal-title":"IEEE Commun. Mag."},{"key":"12_CR5","doi-asserted-by":"publisher","first-page":"80058","DOI":"10.1109\/ACCESS.2019.2923743","volume":"7","author":"F Wang","year":"2019","unstructured":"Wang, F., Feng, J., Zhao, Y., et al.: Joint activity recognition and indoor localization with Wi-Fi fingerprints. IEEE Access 7, 80058\u201380068 (2019)","journal-title":"IEEE Access"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Poulose, A., Han, D.S.: Indoor localization using PDR with Wi-Fi weighted path loss algorithm. In: 2019 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, pp. 689\u2013693 (2019)","DOI":"10.1109\/ICTC46691.2019.8939753"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Ayyalasomayajula, R., Arun, A., Wu, C., et al.: Deep learning based wireless localization for indoor navigation. In: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking, pp. 1\u201314 (2020)","DOI":"10.1145\/3372224.3380894"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Joshi, R., Hiwale, A., Birajdar, S., et al.: Indoor navigation with augmented reality. In: Kumar, A., Mozar, S. (eds.) ICCCE 2019. Lecture Notes in Electrical Engineering, vol. 570, pp. 159\u2013165. Springer, Singapore. https:\/\/doi.org\/10.1007\/978-981-13-8715-9_20","DOI":"10.1007\/978-981-13-8715-9_20"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Saha, J., Pal, T., Mukherjee, D.: Indoor Navigation System using Augmented Reality. Applications of Machine Intelligence in Engineering. CRC Press, pp. 109\u2013115 (2022)","DOI":"10.1201\/9781003269793-13"},{"issue":"20","key":"12_CR10","doi-asserted-by":"publisher","first-page":"5890","DOI":"10.3390\/s20205890","volume":"20","author":"BC Huang","year":"2020","unstructured":"Huang, B.C., Hsu, J., Chu, E.T.H., et al.: Arbin: augmented reality based indoor navigation system. Sensors 20(20), 5890 (2020)","journal-title":"Sensors"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Gerstweiler, G.: Guiding people in complex indoor environments using augmented reality. In: 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 801\u2013802 (2018)","DOI":"10.1109\/VR.2018.8446138"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Rajeev, S., Wan, Q., Yau, K., et al.: Augmented reality-based vision-aid indoor navigation system in GPS denied environment. In: Mobile Multimedia\/Image Processing, Security, and Applications 2019. SPIE 2019, vol. 10993, pp. 143\u2013152 (2019)","DOI":"10.1117\/12.2519224"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Yoon, C., Louie, R., Ryan, J., et al.: Leveraging augmented reality to create apps for people with visual disabilities: A case study in indoor navigation. In: The 21st International ACM SIGACCESS Conference on Computers and Accessibility, pp. 210\u2013221 (2019)","DOI":"10.1145\/3308561.3353788"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Dosaya, V., Varshney, S., Parameshwarappa, V.K., et al.: A low cost augmented reality system for wide area indoor navigation. In: 2020 International Conference on Decision Aid Sciences and Application (DASA). IEEE, pp. 190\u2013195 (2020)","DOI":"10.1109\/DASA51403.2020.9317014"},{"issue":"07","key":"12_CR15","first-page":"396","volume":"7","author":"M Ghantous","year":"2018","unstructured":"Ghantous, M., Shami, H., Taha, R.: Augmented reality indoor navigation based on Wi-Fi trilateration. Int. J. Eng. Res. Technol. (IJERT) 7(07), 396\u2013404 (2018)","journal-title":"Int. J. Eng. Res. Technol. (IJERT)"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Bao, Q., Papachristou, C., Wolff, F.: An indoor navigation and localization system. In: 2019 IEEE National Aerospace and Electronics Conference (NAECON). IEEE, pp. 533\u2013540 (2019)","DOI":"10.1109\/NAECON46414.2019.9058080"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Cabral, K.M., dos Santos, S.R.B., Nascimento, C.L., et al.: ALOS: Acoustic localization system applied to indoor navigation of UAVs. In: 2019 International Conference on Communications, Signal Processing, and their Applications (ICCSPA). IEEE, pp. 1\u20136 (2019)","DOI":"10.1109\/ICCSPA.2019.8713689"},{"key":"12_CR18","doi-asserted-by":"publisher","first-page":"42909","DOI":"10.1109\/ACCESS.2020.2978123","volume":"8","author":"W Zhao","year":"2020","unstructured":"Zhao, W., Xu, L., Qi, B., et al.: Vivid: augmenting vision-based indoor navigation system with edge computing. IEEE Access 8, 42909\u201342923 (2020)","journal-title":"IEEE Access"},{"issue":"7","key":"12_CR19","doi-asserted-by":"publisher","first-page":"2229","DOI":"10.3390\/s18072229","volume":"18","author":"A Xiao","year":"2018","unstructured":"Xiao, A., Chen, R., Li, D., et al.: An indoor positioning system based on static objects in large indoor scenes by using smartphone cameras. Sensors 18(7), 2229 (2018)","journal-title":"Sensors"},{"issue":"8","key":"12_CR20","doi-asserted-by":"publisher","first-page":"5461","DOI":"10.1109\/TWC.2020.2993545","volume":"19","author":"T Li","year":"2020","unstructured":"Li, T., Han, D., Chen, Y., et al.: IndoorWaze: a crowdsourcing-based context-aware indoor navigation system. IEEE Trans. Wirel. Commun. 19(8), 5461\u20135472 (2020)","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"16","key":"12_CR21","doi-asserted-by":"publisher","first-page":"4410","DOI":"10.3390\/s20164410","volume":"20","author":"F Jamil","year":"2020","unstructured":"Jamil, F., Iqbal, N., Ahmad, S., et al.: Toward accurate position estimation using learning to prediction algorithm in indoor navigation. Sensors 20(16), 4410 (2020)","journal-title":"Sensors"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Zou, Q., Sun, Q., Chen, L., et al.: A comparative analysis of LiDAR SLAM-based indoor navigation for autonomous vehicles. IEEE Trans. Intell. Transp. Syst. (2021)","DOI":"10.1109\/TITS.2021.3063477"},{"key":"12_CR23","doi-asserted-by":"crossref","unstructured":"Nakagawa, M., Nozaki, R.: Geometrical network model generation using point cloud data for indoor navigation. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 4(4) (2018)","DOI":"10.5194\/isprs-annals-IV-4-141-2018"},{"key":"12_CR24","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1016\/j.isprsjprs.2021.01.013","volume":"173","author":"J Yang","year":"2021","unstructured":"Yang, J., Kang, Z., Zeng, L., et al.: Semantics-guided reconstruction of indoor navigation elements from 3D colorized points. ISPRS J. Photogramm. Remote Sens. 173, 238\u2013261 (2021)","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"12_CR25","unstructured":"Mihajlovna, K.E.: Developing an indoor navigation application in the unity engine (2021)"},{"issue":"5","key":"12_CR26","doi-asserted-by":"publisher","first-page":"989","DOI":"10.3390\/app9050989","volume":"9","author":"X Zhang","year":"2019","unstructured":"Zhang, X., Yao, X., Zhu, Y., et al.: An ARCore based user centric assistive navigation system for visually impaired people. Appl. Sci. 9(5), 989 (2019)","journal-title":"Appl. Sci."},{"key":"12_CR27","doi-asserted-by":"crossref","unstructured":"Tiemann J, Ramsey A, Wietfeld C. Enhanced UAV indoor navigation through SLAM-augmented UWB localization. In: 2018 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, pp. 1\u20136 (2018)","DOI":"10.1109\/ICCW.2018.8403539"},{"issue":"4","key":"12_CR28","doi-asserted-by":"publisher","first-page":"3133","DOI":"10.1109\/JIOT.2020.2965115","volume":"7","author":"D Feng","year":"2020","unstructured":"Feng, D., Wang, C., He, C., et al.: Kalman-filter-based integration of IMU and UWB for high-accuracy indoor positioning and navigation. IEEE Int. Things J. 7(4), 3133\u20133146 (2020)","journal-title":"IEEE Int. Things J."},{"issue":"6","key":"12_CR29","doi-asserted-by":"publisher","first-page":"1578","DOI":"10.3390\/s20061578","volume":"20","author":"G Hu","year":"2020","unstructured":"Hu, G., Zhang, W., Wan, H., et al.: Improving the heading accuracy in indoor pedestrian navigation based on a decision tree and Kalman filter. Sensors 20(6), 1578 (2020)","journal-title":"Sensors"},{"key":"12_CR30","doi-asserted-by":"crossref","unstructured":"Xu, Y., Wen, Z., Zhang, X.: Indoor optimal path planning based on Dijkstra Algorithm. In: International Conference on Materials Engineering and Information Technology Applications (MEITA 2015). Atlantis Press, pp. 309\u2013313 (2015)","DOI":"10.2991\/meita-15.2015.57"},{"issue":"1","key":"12_CR31","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.trb.2008.05.010","volume":"43","author":"MGH Bell","year":"2009","unstructured":"Bell, M.G.H.: Hyperstar: a multi-path Astar algorithm for risk averse vehicle navigation. Transp. Res. Part B: Methodol. 43(1), 97\u2013107 (2009)","journal-title":"Transp. Res. Part B: Methodol."},{"key":"12_CR32","unstructured":"Deshmukh, D., Gonte, B., Khachane, N., et al.: Self-deployable indoor navigation system using Dijkstra\u2019s-AES-Apriory Algorithm (2019)"}],"container-title":["Lecture Notes in Computer Science","Advances in Computer Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-23473-6_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T03:19:24Z","timestamp":1672543164000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-23473-6_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031234729","9783031234736"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-23473-6_12","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":"1 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CGI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computer Graphics International Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cgi2022a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cgs-network.org\/cgi22\/","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":"139","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":"45","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":"32% - 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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}