Abstract
Indoor positioning allows for many commercially viable applications, such as navigation, behavior and movement tracking, and augmented reality (AR). These applications all require the user’s location and orientation to be reliably estimated. Positioning is noticeably more challenging indoors than outdoors since GPS is typically unavailable in interior environments due to the shielding effect of structures. As a result, much research has been focused on relying on other types of signals, or in our case, images as a basis for positioning.
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References
N. Ravi, P. Shankar, A. Frankel, A. Elgammal, L. Iftode, Indoor localization using camera phones, in Mobile Computing Systems and Applications (2006)
L.I.U. Xiaohan, H. Makino, M.A.S.E. Kenichi, Improved indoor location estimation using fluorescent light communication system with a nine-channel receiver. IEICE Trans. Commun. 93(11), 2936–2944 (2010)
Y. Chen, H. Kobayashi, Signal strength based indoor geolocation, in International Conference on Communications (2002)
J. Biswas, M. Veloso, WiFi localization and navigation for autonomous indoor mobile robots, in International Conference on Robotics and Automation (2010)
G. Fischer, B. Dietrich, F. Winkler, Bluetooth indoor localization system, in Proceedings of the 1st Workshop on Positioning, Navigation and Communication (2004)
S.S. Chawathe, Low-latency indoor localization using bluetooth beacons, in 12th International IEEE Conference on Intelligent Transportation Systems (2009)
A. Varshavsky, E. de Lara, J. Hightower, A. LaMarca, V. Otsason, GSM indoor localization. Perv. Mobile Comput. 3(6), 698–720 (2007)
J. Chung, M. Donahoe, C. Schmandt, I.-J. Kim, P. Razavai, M. Wiseman, Indoor location sensing using geo-magnetism, in Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, pp. 141–154 (2011)
S. Schneegans, P. Vorst, A. Zell, Using RFID snapshots for mobile robot self-localization, in European Conference on Mobile Robots (2007)
H.-S. Kim, J.-S. Choi, Advanced indoor localization using ultrasonic sensor and digital compass, in International Conference on Control, Automation and Systems (2008)
G. Chen, J. Kua, S. Shum, N. Naikal, M. Carlberg, A. Zakhor, Indoor localization algorithms for a human-operated backpack system, in 3D Data Processing, Visualization, and Transmission, May 2010
T. Liu, M. Carlberg, G. Chen, J. Chen, J. Kua, A. Zakhor, Indoor localization and visualization using a human-operated backpack system, in International Conference on Indoor Positioning and Indoor Navigation (2010)
J. Kua, N. Corso, A. Zakhor, Automatic loop closure detection using multiple cameras for 3D indoor localization, in IS&T/SPIE Electronic Imaging (2012)
J. Zhang, A. Hallquist, E. Liang, A. Zakhor, Location-based image retrieval for urban environments, in International Conference on Image Processing (2011)
D.G. Lowe, Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91–110 (2004)
M. Muja, D.G. Lowe, Fast approximate nearest neighbors with automatic algorithm configuration, in International Conference on Computer Vision Theory and Applications (2009)
A. Hallquist, A. Zakhor, Single view pose estimation of mobile devices in urban environments, in Workshop on the Applications of Computer Vision (2013)
N. Corso, A. Zakhor, Indoor localization algorithms for an ambulatory human operated 3D mobile mapping system. Remote Sensing 2013, 6611–6646 (2013)
E. Turner, A. Zakhor, Watertight as-built architectural floor plans generated from laser range data, in Second International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (2012)
E. Turner, A. Zakhor, Watertight planar surface meshing of indoor point clouds with voxel carving, in 3D Vision, Seattle, June 2013
R. Hartley, A. Zisserman, Multiple View Geometry (Cambridge University Press, Cambridge, 2004)
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© 2015 Springer International Publishing Switzerland
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Liang, J.Z., Corso, N., Turner, E., Zakhor, A. (2015). Image-Based Positioning of Mobile Devices in Indoor Environments. In: Choi, J., Friedland, G. (eds) Multimodal Location Estimation of Videos and Images. Springer, Cham. https://doi.org/10.1007/978-3-319-09861-6_5
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DOI: https://doi.org/10.1007/978-3-319-09861-6_5
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