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Indoor Localization Using Smartphones in Multi Floor Environments Without Prior Calibration or Added Infrastructure

Burgess, Simon LU ; Åström, Karl LU ; Lindquist, Björn; Ljungberg, Rasmus and Sharma, Koustubh (2015) 6th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2015)
Abstract
Indoor positioning for smart phone users has received a lot of attention in recent years. While many solutions have been developed, most rely on extra sensors, a need for predeployment of infrastructure or collecting ground truth data to train on. In this paper we see what can be done using only existing WiFi-infrastructure and Received Signal Strength from these, not using any extra sensors or calibration of the signal environment. We expand on previous work by using a multi floor model taking into account dampening between floors, and optimize a target function consisting of least squares residuals, to find positions for WiFis and the smartphone measurement locations. Experiments indicate that floor detection needs to be semi-supervised... (More)
Indoor positioning for smart phone users has received a lot of attention in recent years. While many solutions have been developed, most rely on extra sensors, a need for predeployment of infrastructure or collecting ground truth data to train on. In this paper we see what can be done using only existing WiFi-infrastructure and Received Signal Strength from these, not using any extra sensors or calibration of the signal environment. We expand on previous work by using a multi floor model taking into account dampening between floors, and optimize a target function consisting of least squares residuals, to find positions for WiFis and the smartphone measurement locations. Experiments indicate that floor detection needs to be semi-supervised or in need of additional sensors. The method was tested inside two buildings, with tree stories each, with mean errors of smartphone positions of 15.2 m and 13.5 m respectively. (Less)
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conference name
6th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2015)
language
English
LU publication?
yes
id
3c519e6a-e491-4e65-8683-191b9982f5fe
alternative location
http://ucalgary.ca/ipin2015/files/ipin2015/1570177173.pdf
date added to LUP
2016-04-20 11:18:13
date last changed
2016-07-19 18:04:02
@misc{3c519e6a-e491-4e65-8683-191b9982f5fe,
  abstract     = {Indoor positioning for smart phone users has received a lot of attention in recent years. While many solutions have been developed, most rely on extra sensors, a need for predeployment of infrastructure or collecting ground truth data to train on. In this paper we see what can be done using only existing WiFi-infrastructure and Received Signal Strength from these, not using any extra sensors or calibration of the signal environment. We expand on previous work by using a multi floor model taking into account dampening between floors, and optimize a target function consisting of least squares residuals, to find positions for WiFis and the smartphone measurement locations. Experiments indicate that floor detection needs to be semi-supervised or in need of additional sensors. The method was tested inside two buildings, with tree stories each, with mean errors of smartphone positions of 15.2 m and 13.5 m respectively.},
  author       = {Burgess, Simon and Åström, Karl and Lindquist, Björn and Ljungberg, Rasmus and Sharma, Koustubh},
  language     = {eng},
  month        = {10},
  title        = {Indoor Localization Using Smartphones in Multi Floor Environments Without Prior Calibration or Added Infrastructure},
  year         = {2015},
}