{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:15:35Z","timestamp":1773101735332,"version":"3.50.1"},"reference-count":29,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2015,12,24]],"date-time":"2015-12-24T00:00:00Z","timestamp":1450915200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Austrian Research Promotion Agency (FFG)","award":["838548"],"award-info":[{"award-number":["838548"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Navigating in unknown big indoor environments with static 2D maps is a challenge, especially when time is a critical factor. In order to provide a mobile assistant, capable of supporting people while navigating in indoor locations, an accurate and reliable localization system is required in almost every corner of the building. We present a solution to this problem through a hybrid tracking system specifically designed for complex indoor spaces, which runs on mobile devices like smartphones or tablets. The developed algorithm only uses the available sensors built into standard mobile devices, especially the inertial sensors and the RGB camera. The combination of multiple optical tracking technologies, such as 2D natural features and features of more complex three-dimensional structures guarantees the robustness of the system. All processing is done locally and no network connection is needed. State-of-the-art indoor tracking approaches use mainly radio-frequency signals like Wi-Fi or Bluetooth for localizing a user. In contrast to these approaches, the main advantage of the developed system is the capability of delivering a continuous 3D position and orientation of the mobile device with centimeter accuracy. This makes it usable for localization and 3D augmentation purposes, e.g. navigation tasks or location-based information visualization.<\/jats:p>","DOI":"10.3390\/s16010017","type":"journal-article","created":{"date-parts":[[2015,12,24]],"date-time":"2015-12-24T10:03:53Z","timestamp":1450951433000},"page":"17","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["HyMoTrack: A Mobile AR Navigation System for Complex Indoor Environments"],"prefix":"10.3390","volume":"16","author":[{"given":"Georg","family":"Gerstweiler","sequence":"first","affiliation":[{"name":"Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11-188\/2, Vienna 1040, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emanuel","family":"Vonach","sequence":"additional","affiliation":[{"name":"Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11-188\/2, Vienna 1040, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0322-9869","authenticated-orcid":false,"given":"Hannes","family":"Kaufmann","sequence":"additional","affiliation":[{"name":"Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11-188\/2, Vienna 1040, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,12,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Perey, C. (2011, January 26\u201329). Indoor positioning and navigation for mobile AR. Proceedings of the 2011 IEEE International Symposium on Mixed and Augmented Reality\u2014Arts, Media, and Humanities, Basel, Switzerland.","DOI":"10.1109\/ISMAR-AMH.2011.6093646"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Sch\u00f6ps, T., Engel, J., and Cremers, D. (2014). Semi-dense visual odometry for AR on a smartphone. IEEE Int. Symp. Mixed Augment. Real.","DOI":"10.1109\/ISMAR.2014.6948420"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1109\/MRA.2006.1678144","article-title":"Simultaneous localization and mapping (SLAM): Part II","volume":"13","author":"Bailey","year":"2006","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_4","unstructured":"Hong, F., Zhang, Y., Zhang, Z., Wei, M., Feng, Y., and Guo, Z. (2014, January 8\u201311). WaP: Indoor localization and tracking using WiFi-Assisted Particle filter. Proceedings of the 2014 IEEE 39th Conference on Local Computer Networks (LCN), Edmonton, AB, Canada."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Cruz, O., Ramos, E., and Ramirez, M. (March, January 28). 3D indoor location and navigation system based on Bluetooth. Proceedings of the CONIELECOMP 2011\u201421st International Conference on Electronics Communications and Computers, San Andres Cholula, Mexico.","DOI":"10.1109\/CONIELECOMP.2011.5749373"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant keypoints","volume":"60","author":"Lowe","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1007\/11744023_34","article-title":"Machine learning for high-speed corner detection","volume":"3951","author":"Rosten","year":"2006","journal-title":"Lect. Notes Comput. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Rublee, E., Rabaud, V., Konolige, K., and Bradski, G. (2011, January 6\u201313). ORB: An efficient alternative to SIFT or SURF. Proceedings of the 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain.","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Mulloni, A., Ramachandran, M., Reitmayr, G., Wagner, D., Grasset, R., and Diaz, S. (,  2013). User friendly SLAM initialization. Proceedings of the 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Adelaide, Australia.","DOI":"10.1109\/ISMAR.2013.6671775"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Klein, G., and Murray, D. (2007, January 13\u201316). Parallel tracking and mapping for small AR workspaces. Proceedings of the ISMAR 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, Nara, Japan.","DOI":"10.1109\/ISMAR.2007.4538852"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"802","DOI":"10.1007\/978-3-540-88688-4_59","article-title":"Improving the Agility of Keyframe-Based SLAM","volume":"5303","author":"Klein","year":"2008","journal-title":"Lect. Note Comput. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1007\/978-1-4613-8997-2_14","article-title":"Estimating uncertain spatial relationships in robotics","volume":"4","author":"Smith","year":"1990","journal-title":"Autonom. Robot Veh."},{"key":"ref_13","unstructured":"Montemerlo, M., Thrun, S., Koller, D., and Wegbreit, B. (2002). FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem. AAAI-02 Proc., 593\u2013598."},{"key":"ref_14","unstructured":"Forster, C., Pizzoli, M., and Scaramuzza, D. (June, January May). SVO: Fast Semi-Direct Monocular Visual Odometry. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China."},{"key":"ref_15","unstructured":"Mur-Artal, R., and Tard\u00f3s, J.D. (June, January 31). Fast Relocalisation and Loop Closing in Keyframe-Based SLAM. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Wagner, D., Mulloni, A., Langlotz, T., and Schmalstieg, D. (2010, January 20\u201324). Real-time panoramic mapping and tracking on mobile phones. Proceedings of the IEEE Virtual Reality Conference, Waltham, MA, USA.","DOI":"10.1109\/VR.2010.5444786"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Arth, C., Klopschitz, M., Reitmayr, G., and Schmalstieg, D. (2011, January 26\u201329). Real-time self-localization from panoramic images on mobile devices. Proceedings of the 2011 10th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2011, Basel, Switzerland.","DOI":"10.1109\/ISMAR.2011.6162870"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1109\/TVCG.2014.27","article-title":"Global Localization from Monocular SLAM on a Mobile Phone","volume":"20","author":"Ventura","year":"2014","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_19","unstructured":"Wagner, D., and Schmalstieg, D. (2003, January 18\u201321). First steps towards handheld augmented reality. Proceedings of the Seventh IEEE International Symposium on Wearable Computers, Vienna, Austria."},{"key":"ref_20","unstructured":"Wagner, D., and Schmalstieg, D. (2004, January 7). ARToolKit on the PocketPC platform. Proceedings of the 2003 IEEE International Conference on Augmented Reality Toolkit Workshop, St. Lambrecht, Austria."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Wagner, D., Reitmayr, G., Mulloni, A., Drummond, T., and Schmalstieg, D. (2008, January 15\u201318). Pose tracking from natural features on mobile phones. Proceedings of the 7th IEEE\/ACM International Symposium on Mixed and Augmented Reality, 2008, Cambridge, UK. ISMAR 2008.","DOI":"10.1109\/ISMAR.2008.4637338"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Mirowski, P., Ho, T.K., Yi, S., and MacDonald, M. (2013, January 28\u201331). SignalSLAM: Simultaneous localization and mapping with mixed WiFi, Bluetooth, LTE and magnetic signals. Proceedings of the 2013 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Montbeliard-Belfort, France.","DOI":"10.1109\/IPIN.2013.6817853"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1016\/j.aei.2010.09.003","article-title":"Comparative evaluation of Received Signal-Strength Index (RSSI) based indoor localization techniques for construction jobsites","volume":"25","author":"Luo","year":"2011","journal-title":"Adv. Eng. Inf."},{"key":"ref_24","unstructured":"Zhang, Z.Z.Z. (1999, January 20\u201327). Flexible camera calibration by viewing a plane from unknown\\norientations. Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999, Kerkyra, Greece."},{"key":"ref_25","unstructured":"Rusinkiewicz, S., and Levoy, M. (June, January 28). Efficient variants of the ICP algorithm. Proceedings of the Third International Conference on 3-D Digital Imaging and Modeling, Quebec City, QC, Canada."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Seo, W.J., Ok, S.H., Ahn, J.H., Kang, S., and Moon, B. (2009, January 25\u201327). An efficient hardware architecture of the A-star algorithm for the shortest path search engine. Proceedings of the Fifth International Joint Conference on INC, IMS and IDC.","DOI":"10.1109\/NCM.2009.371"},{"key":"ref_27","unstructured":"Granberg, A. A* Pathfinding Project. Available online: http:\/\/arongranberg.com\/astar\/."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1145\/358669.358692","article-title":"Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography","volume":"24","author":"Fischler","year":"1981","journal-title":"Commun. ACM"},{"key":"ref_29","first-page":"2","article-title":"Overview of the RANSAC Algorithm","volume":"4","author":"Derpanis","year":"2010","journal-title":"Image Rochester NY"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/1\/17\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:54:46Z","timestamp":1760216086000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/1\/17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12,24]]},"references-count":29,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2016,1]]}},"alternative-id":["s16010017"],"URL":"https:\/\/doi.org\/10.3390\/s16010017","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,12,24]]}}}