[No Value], Widyawan and Pirkl, Gerald and Munaretto, Daniele and Fischer, Carl and An, Chunlei and Lukowicz, Paul and Klepal, Martin and Timm-Giel, Andreas and Widmer, Joerg and Pesch, Dirk and Gellersen, Hans (2012) Virtual lifeline: Multimodal sensor data fusion for robust navigation in unknown environments. Pervasive and Mobile Computing, 8 (3). pp. 388-401. ISSN 1574-1192Full text not available from this repository.
We present a novel, multimodal indoor navigation technique that combines pedestrian dead reckoning (PDR) with relative position information from wireless sensor nodes. It is motivated by emergency response scenarios where no fixed or pre-deployed global positioning infrastructure is available and where typical motion patterns defeat standard PDR systems. We use RF and ultrasound beacons to periodically re-align the PDR system and reduce the impact of incremental error accumulation. Unlike previous work on multimodal positioning, we allow the beacons to be dynamically deployed (dropped by the user) at previously unknown locations. A key contribution of this paper is to show that despite the fact that the beacon locations are not known (in terms of absolute coordinates), they significantly improve the performance of the system. This effect is especially relevant when a user re-traces (parts of) the path he or she had previously travelled or lingers and moves around in an irregular pattern at single locations for extended periods of time. Both situations are common and relevant for emergency response scenarios. We describe the system architecture, the fusion algorithms and provide an in depth evaluation in a large scale, realistic experiment.
|Journal or Publication Title:||Pervasive and Mobile Computing|
|Uncontrolled Keywords:||Virtual lifeline ; Navigation ; Sensor data fusion ; Unknown environments|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||13 Aug 2012 11:04|
|Last Modified:||24 Mar 2017 04:29|
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