This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-07-04 Creation time: 21-19-26 --- Number of references 5 inproceedings 2013-smith-extremecom-demo Demo: Opportunistic Deployment Support for Wireless Sensor Networks 2013 8 24 1--2 won "coolest demo award" fileadmin/papers/2013/2013-smith-extremecom-opportunistic-deployment-support.pdf Online Hui, Pan and Lindgren, Anders ACM Proceedings of the 5th Extreme Conference on Communication Thorsmork, Iceland 5th Extreme Conference on Communication August 24-30, 2013 en 978-1-4503-2171-6 1 PaulSmith Jó AgilaBitsch Link KlausWehrle inproceedings 2012-IPIN-Bitsch-FlowPath Indoor Navigation on Wheels (and on Foot) using Smartphones 2012 11 13 10 S. fileadmin/papers/2012/2012-bitsch-IPIN-navigation-on-wheels.pdf http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418931 Print
Piscataway, NJ, USA
Proceedings of the 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 11-13 November 2012 Sydney, Australia IEEE Sydney, Australia 2012 International Conference on Indoor Positioning and Indoor Navigation November 13--15, 2012 en 978-1-4673-1955-3 10.1109/IPIN.2012.6418931 1 Jó AgilaBitsch Link FelixGerdsmeier PaulSmith KlausWehrle
article 2012-JLBS-Bitsch-FootPath Accurate Map-based Indoor Navigation on the Mobile Journal of Location Based Services 2012 7 11 7 1 23-43 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 localise 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. http://www.tandfonline.com/doi/abs/10.1080/17489725.2012.692620 Online Taylor & Francis
Bristol, PA, USA
en 1748-9733 10.1080/17489725.2012.692620 1 Jó AgilaBitsch Link PaulSmith NicolaiViol KlausWehrle
inproceedings 2011-ipin-bitsch-footpath-long FootPath: Accurate Map-based Indoor Navigation Using Smartphones 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 FootPath: Accurate Map-based Indoor Navigation Using Smartphones (short paper) 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