Multi-Sensor Information Fusion and Application

Ting Gong; Hui Yan

doi:10.4028/www.scientific.net/AMM.602-605.2623

Paper Titles

Software Design of Electro-Thermal Acupuncture Treatment Instrument Based on MCU
p.2605

Comprehensive Control Strategy and Simulation Research on Micro Grid
p.2609

Micromouse Digital Circuits Design with FPGA
p.2615

Design and Implementation of RS Encoder and Decoder in OFDM System Based on FPGA
p.2619

Multi-Sensor Information Fusion and Application
p.2623

Research on a New Rotary Transformer Device
p.2627

A High Uniformity Readout Integrated Circuit for Infrared Focal Plane Array Applications
p.2632

High Voltage Transmission Line Electromagnetic Environment Analysis and Research on the Human Body Biological Effect
p.2637

The Design of Digital Filter Based on DSP Builder
p.2641

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Multi-Sensor Information Fusion and Application

Multi-Sensor Information Fusion and Application

Abstract:

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 fusion technology are introduced and summarized.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2623-2626

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2623

Citation:

Cite this paper

Online since:

August 2014

Authors:

Ting Gong*, Hui Yan

Keywords:

Information Fusion, Methods of Fusion, Multi-Sensor

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] U. Handmann,T. Kalinke, C. Tzomakas, M. Werner,W. v. Seelen. An Image Processing System for Driver Assistance. Image and Vision Computing, 2000(18): 367-376.

DOI: 10.1016/s0262-8856(99)00032-3

Google Scholar

[2] Sun Hui, Zhao Feng and Zhang Fengyun. Multi-sensor Data Fusion and Application [J]. Hydrographic Surveying and Charting, 2009 (9): 77-80.

Google Scholar

[3] Huang Huining and Liu Yuanzhang. Overview of Multi-sensor Data Fusion Technology [J]. Science & Technology Information, 2010 (5): 72-73.

Google Scholar

[4] Rong Jian and Qiao Lizhao. Data Fusion Algorithm Based on Fuzzy Neural System [J]. Journal of University of Electronic Science and Technology of China, 2010, 5 (3): 376-379.

Google Scholar

[5] Zhang Xiaoliang and Luo Wenguang. Application of Multi-sensor Data Fusion Technology in Monitoring System of Indoor Environment Quality [J]. Instrument Technique and Sensor, 2012 (3): 103-105.

Google Scholar