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A fusion toolbox fo...
A fusion toolbox for sensor data fusion in industrial recycling
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- Karlsson, Beatrice (författare)
- Linköpings universitet,Tekniska högskolan,Institutionen för fysik, kemi och biologi
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- Järrhed, Jan-Ove (författare)
- Linköpings universitet,Tekniska högskolan,Institutionen för fysik, kemi och biologi
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- Wide, P. (författare)
- IEEE, Department of Technology and Science, Örebro University, Örebro, SwedenDepartment of Technology and Science, Örebro University, Örebro, Sweden,
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2002
- 2002
- Engelska.
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Ingår i: IEEE Transactions on Instrumentation and Measurement. - : Institute of Electrical and Electronics Engineers (IEEE). - 0018-9456 .- 1557-9662. ; 51:1, s. 144-149
- Relaterad länk:
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Information from different sensors can be fused in various ways. It is often difficult to choose the most suitable method for solving a fusion problem. In a measurement situation, the measured signal is often corrupted by disturbances (noise, etc.). It is, therefore, meaningless to compare crisp values without the corresponding uncertainty intervals. This paper describes a toolbox including nine different fusing methods. All methods are applied on training data, and the most suitable method is then used for solving the real fusion problem. In the example, fusion is performed on data for classification in an industrial recycling operation. The data is from different vision systems and an eddy current system. The fusion methods included in the toolbox are fuzzy logic with triangular and Gaussian shaped membership functions, fuzzy measures with triangular and Gaussian shapes, Bayes' statistics, artificial neural networks, multivariate analysis (PCA), a knowledge-based system, and a neuro-fuzzy system.
Nyckelord
- AC motors
- DC motors
- Fuzzy logic
- Fuzzy neural networks
- Neural networks
- Robot vision systems
- TECHNOLOGY
- TEKNIKVETENSKAP
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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