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

Burgess, Simon LU ; Åström, Karl LU orcid ; 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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author
; ; ; and
organization
publishing date
type
Contribution to conference
publication status
published
subject
conference name
6th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2015)
conference location
Banff, Canada
conference dates
2015-10-13 - 2015-10-16
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
2020-12-22 02:16:53
@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}},
  url          = {{http://ucalgary.ca/ipin2015/files/ipin2015/1570177173.pdf}},
  year         = {{2015}},
}