Results 171 to 180 of about 1,238 (215)

Multi-sensor information fusion based on BP network

2010 Sixth International Conference on Natural Computation, 2010
The 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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Progressive information filtering fusion for multi-sensor nonlinear systems

Signal Processing, 2019
Abstract This paper studies the distributed fusion estimation problem for nonlinear systems. A common method for nonlinear filtering is to linearize the nonlinear state and measurement functions, and the linearization error is a major factor that affects the filtering accuracy.
Liyan Zhao, Xusheng Yang, Wen-an Zhang 0001, Li Yu 0001   +3 more
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Multi-sensor Information Fusion Cubature Kalman Particle Filter

2016 9th International Symposium on Computational Intelligence and Design (ISCID), 2016
Distributed parameter estimation is more practical in wireless sensor networks, as it has less communication overhead and is robust in large scale sensor networks. To solve the state estimation problem of nonlinear and non-Gaussian system, we propose a distributed cubature Kalman particle filter, which use cubature Kalman filter to generate the ...
Jinwang Huang, Guangming Li, Huaqiang Yuan   +2 more
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A study on application of multi‐sensor information fusion in pulsed GTAW

Industrial Robot: An International Journal, 2010
PurposeWelding sensor technology is the key technology in welding process, but a single sensor cannot acquire adequate information to describe welding status. This paper addresses arc sensor and sound sensor to acquire the voltage and sound information of pulsed gas tungsten arc welding (GTAW) simultaneously, and uses multi‐sensor information fusion ...
Bo Chen, Jifeng Wang, Shanben Chen
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Fusion Method for Uncertain Multi-sensor Information

2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2008
Aimed at multi-sensor Information fusion on object-level, in which the characteristic values of object types and observations of sensors are in the form of interval numbers, a new fusion method is proposed from the viewpoint of decision making theory. The method defines the deviation degree between two interval numbers.
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Multi-sensor information fusion algorithm research and application

2013 IEEE International Symposium on Assembly and Manufacturing (ISAM), 2013
This paper focuses on the multi-sensor information fusion of the basic concepts, multi-sensor information fusion structure are introduced, and the main multi-sensor information fusion algorithm further research and discussion, the multi-sensor information fusion autonomous mobile robot assembly application, for example, further confirmed that the ...
null Han Gai-ning, null Li Yong-feng
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Survey of Multi-Sensor Information Fusion Filtering and Control

2010 International Conference on E-Product E-Service and E-Entertainment, 2010
Multi-sensor information fusion (MSIF) is an emerging technology, which has received great attention. A recent achievement about the MSIF-based filtering and control is summarized, which includes the MSIF filter and MSIF control. The filtering algorithm, the linear and nonlinear fusion control, and economic system control are extensively reviewed. Some
Duanjin Zhang, Na Liu, Lin Yang
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A Multi-Sensor Information Fusion Algorithm based on SVM

2008 International Conference on Apperceiving Computing and Intelligence Analysis, 2008
Support vector machine is an algorithm based on structural risk minimization, which has good generalization performance. In the course of multi-sensor information fusion of industrial control, sensor has bigger nonlinearity and fuzzy relation between coefficient and relevant parameter. This paper proposed an algorithm of multi-sensor information fusion
Jian-Hua Adu, De-Kun Hu, Hui Peng, Ju-Hong Tie   +3 more
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Information Fusion of Multi-Sensor Images

2009
The 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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Observation Capability for Distributed Multi-Sensor Information Fusion

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
In distributed multi-sensor system, many information fusion rules have been investigated to process the information data. And, it is a primary issue to study better fusion rules. In this paper, a statistical viewpoint that multi-sensor information fusion rules based on Fisher information are investigated.
Zheng Yang, Yongqiang Cheng, Hao Wu
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