Accuracy Estimation for Sensor Systems
- Submitting institution
-
University of Oxford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1956
- Type
- D - Journal article
- DOI
-
10.1109/TMC.2014.2352262
- Title of journal
- IEEE TRANSACTIONS ON MOBILE COMPUTING
- Article number
- 7
- First page
- 1330
- Volume
- 14
- Issue
- 7
- ISSN
- 1536-1233
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the journal version of a conference paper, �On Assessing the Accuracy of Positioning Systems in Indoor Environments�, which received the best paper award at the European Conference on Wireless Sensor Networks (EWSN) 2013. It tackles the problem of trying to determine which sensor measurements are correct and which are noisy, without any priors. It compares and contrasts different machine learning techniques for the positioning problem and demonstrates their relative merits. This work forms part of the background to the GBP1,093,659 EPSRC grant EP/J012017/1 (Trigoni Co-I).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -