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