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Multi-sensor Information Fusion Based on Rough Set Theory
The Proceedings of the Multiconference on "Computational Engineering in Systems Applications", 2006Aiming at the problem that the data in the information fusion often overloads, the method that rough set application in neural network was proposed, in which useful attributes were extracted from given training data and redundant attributes were deleted utilizing numerical analysis ability of rough set theory, so sample size can be reduced.
Xiu-jiang Lv +4 more
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Information Fusion of Multi-Sensor Images
2009The human perception to the outside world is the results of action among brain and many organs. For example, the intelligent robots that people currently investigate can have many sensors for sense of vision, sense of hearing, sense of taste, sense of smell, sense of touch, sense of pain, sense of heat, sense of force, sense of slide, sense of approach
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Heterogeneous Multi-sensor Information Fusion Model for Botnet Detection
2010 International Conference on Intelligent Computation Technology and Automation, 2010With the growing number of botnet attacks, the botnet detection is becoming increasingly important for the network security. Towards the deficiencies of integrating and analyzing the heterogeneous multi-sensor information in existing botnet detection techniques, a novel information fusion model is proposed.
Wang Hailong, Gong Zhenghu
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Multi-sensor information fusion based on BP network
2010 Sixth International Conference on Natural Computation, 2010The output of pressure sensor is affected by non-objection parameters in its application, such as temperature, power fluctuation and so on. Multi-sensor information fusion based on BP network can eliminate the side effect of non-objection parameters and improve the accuracy and reliability for the pressure sensor. This method based on LMBP algorithm of
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Fire Monitoring System Based on Multi-Sensor Information Fusion
2010 2nd International Symposium on Information Engineering and Electronic Commerce, 2010The reliability and versatility of the traditional fire monitoring system based on single-sensor information is relatively poor. In this paper, a fire monitoring system based on multi-sensor information fusion is discussed, and which adopts the ART2 (adaptive resonance theory model) and the three-layer BP neural network for two-layer fusion processing ...
Yaochuan Yao +3 more
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Applying Interval Number for Multi-sensor Information Fusion
2009 WRI Global Congress on Intelligent Systems, 2009Aimed at the object recognition problem in which the characteristic values of object types and observations of sensors are in the form of interval numbers, a new fusion method for multi-sensor data is proposed from the viewpoint of decision making theory.
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Robust centralized multi-sensor fusion using cubature information filter
2018 Chinese Control And Decision Conference (CCDC), 2018Noise statistics is crucial to the estimation fusion problem for the sensor network. In this paper, a centralized multi-sensor fusion for the network with non-Gaussian measurement noises is considered. The heavy-tailed Student-t distribution is chosen to model the non-Gaussian measurement noise for each sensor.
Chen Shen, Jing Li, Wei Huang
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An Overview of Multi-sensor Information Fusion
2021 6th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2021Peng Lu, Fengzhi Dai
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System Detection Technology Based on Multi-sensor Information Fusion
2011 Third International Conference on Measuring Technology and Mechatronics Automation, 2011System detection technology based on multi-sensor information fusion makes full use of redundant and complementary information between sensors, which overcomes the shortcomings of single sensor and improves the detection accuracy. In this paper, the detection technology is briefly introduced, which contains the basic model and detection process of a ...
Ma Li, Xu Cixiong, He Zhengfeng
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Multi-Sensor Information Fusion Technology in Robots
Applied and Computational EngineeringMulti-sensor information fusion is a technology that collects and processes data from multiple sensors to obtain more comprehensive and accurate information. In the field of robotics, multi-sensor information fusion technology is frequently applied to robots since the use of a single sensor in robots is often limited, this will also improve the ...
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