Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Virtual lifeline: Multimodal sensor data fusion for robust navigation in unknown environments
AU - [No Value], Widyawan
AU - Pirkl, Gerald
AU - Munaretto, Daniele
AU - Fischer, Carl
AU - An, Chunlei
AU - Lukowicz, Paul
AU - Klepal, Martin
AU - Timm-Giel, Andreas
AU - Widmer, Joerg
AU - Pesch, Dirk
AU - Gellersen, Hans
PY - 2012/6
Y1 - 2012/6
N2 - 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.
AB - 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.
KW - Virtual lifeline
KW - Navigation
KW - Sensor data fusion
KW - Unknown environments
U2 - 10.1016/j.pmcj.2011.04.005
DO - 10.1016/j.pmcj.2011.04.005
M3 - Journal article
VL - 8
SP - 388
EP - 401
JO - Pervasive and Mobile Computing
JF - Pervasive and Mobile Computing
SN - 1574-1192
IS - 3
ER -