In this paper we present an indoor localization system based on particle filter and multiple sensor data like acceleration, angular velocity and compass data. With this approach we tackle the problem of documentation on large building yards during the construction phase. Due to the circumstances of such an environment we cannot rely on any data from GPS, Wi-Fi or RFID. Moreover this work should serve us as a first step towards an all-in-one navigation system for mobile devices. Our experimental results show that we can achieve high accuracy in position estimation.
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 Deinzer F. Derichs C. Niemann H. Denzler J. A Framework for Actively Selecting Viewpoints in Object Recognition International Journal of Pattern Recognition and Artificial Intelligence 2009 Vol. 23 No. 4 pp. 765-799.
 Doucet A. Johansen A. M. A tutorial on particle filtering and smoothing: Fifteen years later Hand-book of Nonlinear Filtering D. Crisan and B. Rozovsky eds. Oxford UK Oxford University Press 2009.
 Evennou F. Marx F. Novakov E. Map-aided indoor mobile positioning system using particle filter Wireless Communications and Networking Conference 2005 Vol. 4 pp. 2490-2494.
 Harter A. Hopper A. Steggles P. Ward A. Webster P. The Anatomy of a Context-Aware Application Proceedings of the 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking 1999 pp. 59-68.
 Isard M. Andrew B. CONDENSATION - Conditional Density Propagation for Visual Tracking International Journal of Computer Vision 1998 Vol. 29 No. 1 p. 5.
 Meng W. Xiao W. Ni W. Lihua X. Secure and robust Wi-Fi fingerprinting indoor localization. International Conference on Indoor Positioning and Indoor Navigation 2011 pp. 1-7.
 Retscher G. Fu Q. Continuos Indoor Navigation with RFID and INS Position Location and Navigation Symposium (PLANS) 2010 pp. 102-112.
 Song Y. Yu H. A RSS Based Indoor Tracking Algorithm via Particle Filter and Probability Distribution. 4th International Conference on Wireless Communications Networking and Mobile Computing 2008 pp. 1-4.