Indoor Localization Using Smartphones in Multi Floor Environments Without Prior Calibration or Added Infrastructure
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3c519e6a-e491-4e65-8683-191b9982f5fe
- author
- Burgess, Simon LU ; Åström, Karl LU ; Lindquist, Björn ; Ljungberg, Rasmus and Sharma, Koustubh
- organization
- publishing date
- 2015-10-14
- 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}}, }