Abstract
Orientation and navigation in a world dominated by visual signs is still a major problem for blind and visually impaired people. The Global Positioning System is of limited use due to its inaccuracy particularly in urban environments. Therefore, we propose a novel approach of precise localization on predefined routes with the help of smartphones and image processing techniques. From an initial acquisition of a given route, a three-dimensional reconstruction is created. A query image is submitted to the database and the location and direction of the camera are calculated. Here, we demonstrate our approach on a evaluationdataset with a mean positioning error of 5.51 meters.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Resnikoff S, Pascolini D, Mariotti SP, et al. Global magnitude of visual impairment caused by uncorrected refractive errors in 2004. Bull World Health Organ. 2008;86(1):63–70.
Loomis JM, Golledge RG, Klatzky RL, et al. Navigation system for the blind: auditory display modes and guidance. Presence. 1998;7:193–203.
Modsching M, Kramer R, ten Hagen K. Field trial on GPS accuracy in a medium size city: the influence of built-up. Proc WPNC. 2006; p. 209–18.
Fallah N, Apostolopoulos I, Bekris K, et al. The user as a sensor: navigating users with visual impairments in indoor spaces using tactile landmarks. Proc SIGCHI. 2012; p. 425–32.
Filipe V, Fernandes F, Fernandes H, et al. Blind navigation support system based on Microsoft Kinect. Comp Sci. 2012;14:94–101.
Agarwal S, Snavely N, Simon I, et al. Building Rome in a day. Proc IEEE Int Conf Comput Vis. 2009; p. 72–9.
Wu C. Towards linear-time incremental structure from motion. Proc 3DV. 2013; p. 127–34.
Wu C, Agarwal S, Curless B, et al. Multicore bundle adjustment. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2011; p. 3057–64.
Hartley RI, Zisserman A. Multiple View Geometry in Computer Vision. 2nd ed. Cambridge University Press; 2004.
Sattler T, Leibe B, Kobbelt L. Fast image-based localization using direct 2D-to –3D matching. Proc ICCV. 2011; p. 667–74.
Karlsson N, Di Bernardo E, Ostrowski J, et al. The vSLAM algorithm for robust localization and mapping. Proc IEEE ICRA. 2005; p. 24–29.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kochanov, D., Jonas, S., Hamadeh, N., Yalvac, E., Slijp, H., Deserno, T. (2014). Urban Positioning Using Smartphone-Based Imaging. In: Deserno, T., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2014. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54111-7_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-54111-7_37
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54110-0
Online ISBN: 978-3-642-54111-7
eBook Packages: Computer Science and Engineering (German Language)