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Assessing Sensor Reliability for Multisensor Data Fusion Within the Transferable Belief Model
Abstract
This paper presents a method for assessing the reliability of a sensor in a classification problem based on the transferable belief model. First, we develop a method for the evaluation of the reliability of a sensor when considered alone. The method is based on finding the discounting factor minimizing the distance between the pignistic probabilities computed from the discounted beliefs and the actual values of data. Next, we develop a method for assessing the reliability of several sensors that are supposed to work jointly and their readings are aggregated. The discounting factors are computed on the basis of minimizing the distance between the pignistic probabilities computed from the combined discounted belief functions and the actual values of data.
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Cited by
Multisensor data fusion: A review of the state-of-the-art
Khaleghi, B., Khamis, A., Karray, F. O., & Razavi, S. N. (2013) · Information Fusion · doi:10.1016/j.inffus.2011.08.001 · Cited by 2,074
Zhu, J., Ge, Z., Song, Z., & Gao, F. (2018) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2018.09.003 · Cited by 308
Application of data fusion techniques and technologies for wearable health monitoring
King, R. C., Villeneuve, E., White, R. J., Sherratt, R. S., Holderbaum, W., & Harwin, W. S. (2017) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2016.12.011 · Cited by 182
“Transferable belief models could be used as a method for modelling sensor reliability [109] .”
Object Detection and Classification by Decision-Level Fusion for Intelligent Vehicle Systems
Oh, S.-I., & Kang, H.-B. (2017) · Sensors · doi:10.3390/s17010207 · Cited by 120
Data Fusion for Intelligent Crowd Monitoring and Management Systems: A Survey
Li, X., Yu, Q., Alzahrani, B., Barnawi, A., Alhindi, A., Alghazzawi, D., & Miao, Y. (2021) · IEEE Access · doi:10.1109/access.2021.3060631 · Cited by 49
Metadata
- Authors
- Elouedi, Z., Mellouli, K., & Smets, P.
- Venue
- IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
- Published
- 2004-02
- Volume
- 34
- Issue
- 1
- Pages
- 782-787
- ISSN
- 1083-4419 (ISSN-L)
- OpenAlex
- W2120389747
- Cited by
- 194
- References
- 0
- FWCI
- 12.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- Elouedi, Z., Mellouli, K., & Smets, P. (2004). Assessing Sensor Reliability for Multisensor Data Fusion Within the Transferable Belief Model. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). https://doi.org/10.1109/tsmcb.2003.817056
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
