| Paper Details: | Downloads: 2181 |
| Serial Number: | P1111748593
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| Title: | Multi-Sensor Fusion Indoor Security Based on Interval Probability, Extended Kalman Filter and Fuzzy Rules Pruning
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| Authors: | Ali Alqudaihiand Mohamed Zohdy and Hoda Abdel-Aty-Zohdy
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| Abstract: | In this paper, noisy heterogeneous multi-sensors, namely Infrared, Active Sonar and Pressure sensors are used for indoor security monitoring. A new approach of enhancing the measurement estimation applying an interval probability to the Extended Kalman Filter process and measurement covariances. A total of four different combinations of the covariances were examined by the addition of upper and lower distributions bounds which helped to find the finest combination that keeps the covariance matrices symmetric and positive definite. In addition, Fuzzy-Logic I rules pruning methods and their applications in security monitoring systems and decision-making rules are addressed and discussed.
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| Keywords: | Multi-Sensor Data Fusion, Interval Probability, Upper/Lower Probability Distribution, Extended Kalman Filter, Measurements Fusion, State Vector Fusion, Fuzzy-Logic I, Rule Pruning.
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| Journal/Conference: | International Journal of Automatic Control and System Engineering
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| Volume: | 17
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| Issue: | 2
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| Submission Date: | 11/28/2017 12:00:00 AM
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| Review Date: | 12/20/2017 12:00:00 AM
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| Publishing Date: | 1/9/2018 12:00:00 AM
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| Article Downloads: | 2181
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