Indoor navigation on wheels (and on foot) using smartphones

While indoor navigation in unfamiliar surroundings is challenging for pedestrians, it is even more so for persons bound to a wheelchair. Additionally, the necessary Wi-Fi infrastructure for fine grained RF fingerprinting-based indoor positioning is often unavailable. We propose a system completely self-contained within current smartphones, that allows people, wheelchair bound and others, to find their way in a building.

[1]  Alberto Del Bimbo,et al.  Proceedings of the international conference on Multimedia , 2010 .

[2]  Chan Gook Park,et al.  New Map-Matching Algorithm Using Virtual Track for Pedestrian Dead Reckoning , 2010 .

[3]  Ruzena Bajcsy,et al.  Precise indoor localization using smart phones , 2010, ACM Multimedia.

[4]  Injong Rhee,et al.  Towards Mobile Phone Localization without War-Driving , 2010, 2010 Proceedings IEEE INFOCOM.

[5]  Hichem Sahli,et al.  A High Efficient System for Traffic Mean Speed Estimation from MPEG Video , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

[6]  Klaus Wehrle,et al.  FootPath: Accurate map-based indoor navigation using smartphones , 2011, 2011 International Conference on Indoor Positioning and Indoor Navigation.

[7]  Jong Weon Lee,et al.  Self-positioning system for indoor navigation on mobile phones , 2012, 2012 IEEE International Conference on Consumer Electronics (ICCE).

[8]  Joachim Weickert,et al.  Fast PDE-Based Image Analysis in Your Pocket , 2011, SSVM.

[9]  Arjan Kuijper,et al.  Scale Space and Variational Methods in Computer Vision , 2013, Lecture Notes in Computer Science.