Indoor location error-detection via crowdsourced multi-dimensional mobile data

Indoor location error-detection via crowdsourced multi-dimensional mobile data

We explore the use of multi-dimensional mobile sensing data as a means of identifying errors in one or more of those data streams. More specifically, we look at the possibility of identifying indoor locations with likely incorrect/stale Wi-Fi fingerprints, by using concurrent readings from Wi-Fi and...

Full description

Saved in:
Bibliographic Details
Main Authors: SINGLA, Savina, MISRA, Archan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
barometer offset errors
barometer-offset
calibration
collection-offset
crowdsourced corroboration
device-offset
re-fingerprinting
error detection
indoor location
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3638
https://ink.library.smu.edu.sg/context/sis_research/article/4640/viewcontent/MobiData2016.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3638
https://ink.library.smu.edu.sg/context/sis_research/article/4640/viewcontent/MobiData2016.pdf

Similar Items