Results 231 to 240 of about 186,398 (289)

Multi-sensor optimal information fusion Kalman filter

Automatica, 2004
The result of the maximum likelihood fusion criterion under the normal density function is re-derived as an optimal information fusion criterion weighted by matrices in the linear minimum variance sense. Based on the fusion criterion, an optimal information fusion decentralized Kalman filter with fault tolerance and robustness properties is given for ...
Sun, Shu-Li, Deng, Zi-Li
openaire   +4 more sources

Multi-sensor management for information fusion: issues and approaches

Information Fusion, 2002
Abstract Multi-sensor management concerns the control of environment perception activities by managing or coordinating the usage of multiple sensor resources. It is an emerging research area, which has become increasingly important in research and development of modern multi-sensor systems.
N. Xiong, P. Svensson
openaire   +3 more sources

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   +4 more sources

Multi-Sensor Information Fusion and Application

Applied Mechanics and Materials, 2014
Technology of multi-sensor information fusion is an emerging discipline and its theories and methods have been applied in many research areas. In this paper, the model and structure of multi-sensor information fusion, major technologies and methods of information fusion, theoretical system of information fusion as well as application of information ...
Ting Gong, Hui Yan
openaire   +1 more source

SLAM Method Based on Multi-Sensor Information Fusion

2021 International Conference on Computer Network, Electronic and Automation (ICCNEA), 2021
SLAM is a key technology in the field of mobile robot. However, it is difficult to meet the requirements of positioning accuracy by using single sensor to locate and navigate for a mobile robot. Multi-sensor information fusion technology has become an important method to solve the problem of mobile robot positioning and navigation.
Yang Tao, Yuanzi He, Xuemei Ma, Haidong Xu, Jingbo Hao, Junrong Feng   +5 more
openaire   +1 more source

Multi-sensor information processing and fusion module

2013 Seventh International Conference on Sensing Technology (ICST), 2013
In order to satisfy the character of multi-sensor system which has a large amount of data and strict requirement of real time response, a module based on FPGA & DSP is designed for multi-sensor information processing and fusion after considering that FPGA (EP2C8T144C8N) has high-speed, complex logic control ability and floating-point DSP (TMS320C6713B)
Jiebing Yan, Xiaoxin Wang, Hongli Hu, Hongmei Wang   +3 more
openaire   +1 more source

Multi-Sensor Information Fusion and its Application

2007 International Conference on Wireless Communications, Networking and Mobile Computing, 2007
The accuracy of original data processing is one of the primary causes that lead to low reliability in detecting system. In this paper Artificial Neural Networks (ANN) is studied in order to solve this problem. Aiming at the limitation of ANN theory in multi-sensor information fusion, we propose an improved ART algorithm and use it in environmental ...
You-Wei Li, Cui-Qing Jiang
openaire   +1 more source