This file was created by the TYPO3 extension bib --- Timezone: UTC Creation date: 2024-11-21 Creation time: 10-55-39 --- Number of references 3 miscellaneous flowpath-patent-pending 2012 2 24 Amtliches Aktenzeichen 10 2012 101 513.9 beim Deutschen Patent- und Markenamt, Anmeldetag: 24.2.2012 footpath Patent pending de Jó AgilaBitsch Link PaulSmith KlausWehrle inproceedings 2011-ipin-bitsch-footpath-long 2011 9 21 1--8 We present FootPath, a self-contained, map-based indoor navigation system. Using only the accelerometer and the compass readily available in modern smartphones we accurately localize a user on her route, and provide her with turn-by-turn instructions to her destination. To compensate for inaccuracies in step detection and heading estimation, we match the detected steps onto the expected route using sequence alignment algorithms from the field of bioinformatics. As our solution integrates well with OpenStreetMap, it allows painless and cost-efficient collaborative deployment, without the need for additional infrastructure. footpath fileadmin/papers/2011/2011-IPIN-bitsch-footpath-long.pdf http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6071934&tag=1 Online IEEE Proceedings of the 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Guimaraes, Portugal Guimarães, Portugal 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN) 21-23 September 2011 en 978-1-4577-1803-8 http://dx.doi.org/10.1109/IPIN.2011.6071934 1 Jó AgilaBitsch Link PaulSmith NicolaiViol KlausWehrle inproceedings 2011-ipin-bitsch-footpath 2011 9 21 1--4 We present FootPath, a self-contained, map-based indoor navigation system. Using only the accelerometer and the compass readily available in modern smartphones we accurately localize a user on her route, and provide her with turn-by-turn instructions to her destination. To compensate for inaccuracies in step detection and heading estimation, we match the de- tected steps onto the expected route using sequence alignment algorithms from the field of bioinformatics. As our solution integrates well with OpenStreetMap, it allows painless and cost-efficient collaborative deployment, without the need for additional infrastructure. short paper (long paper is also available) footpath fileadmin/papers/2011/2011-IPIN-bitsch-footpath.pdf http://ipin2011.dsi.uminho.pt/PDFs/Shortpaper/17_Short_Paper.pdf fileadmin/papers/2011/2011-IPIN-bitsch-footpath-slides.pdf Online IEEE Proceedings of the 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Guimaraes, Portugal Guimarães, Portugal 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN) 21-23 September 2011 en 978-972-8692-63-6 1 Jó AgilaBitsch Link PaulSmith KlausWehrle