Results 261 to 270 of about 186,290 (272)
Some of the next articles are maybe not open access.

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   +3 more
openaire   +1 more source

Research on NFE Model of Multi-Sensor Information Fusion

2008 Second International Symposium on Intelligent Information Technology Application, 2008
To study information fusion method under complex environment, a highly intelligent information fusion model is put forward- the NFE model. This model is an organic combination of neural network, fuzzy reasoning and expert system. Considering various factors which influence the performance of sensor, the NFE confidence estimator is presented from the ...
Tiantian Fan   +4 more
openaire   +1 more source

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   +3 more
openaire   +1 more source

Hand gesture recognition using multi-sensor information fusion

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2023
Aiguo Wang, Huancheng Liu, Jingyu Yan
openaire   +1 more source

Multi-sensor optimal information fusion Kalman filters with applications

Aerospace Science and Technology, 2004
Three new multi-sensor optimal information fusion algorithms are presented, which are weighted in the minimum linear variance sense by scalars, vectors, and matrices, respectively. Based on these algorithms, the optimal information fusion distributed Kalman filters with two-layer fusion structures are given for discrete linear stochastic systems with ...
openaire   +2 more sources

Multi-Sensor Information Fusion Predictive Control Algorithm

International Journal of Multimedia and Ubiquitous Engineering, 2016
Ming Zhao, Yun Li, Gang Hao
openaire   +1 more source

Multi-Sensor Information Fusion Algorithm Based on Edge Information

2023 International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII), 2023
openaire   +1 more source

Multi-Sensor Information Fusion Algorithm Based on Adaptive Background Information

2023 International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII), 2023
Yamei Bai, Changyu Zhang
openaire   +1 more source

User Authentication Scheme Based on Multi-Sensor Information Fusion

Laser & Optoelectronics Progress, 2017
刘乐乐 Liu Lele   +1 more
openaire   +1 more source

Home - About - Disclaimer - Privacy