Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Exploring Key Technologies of Multi-Sensor Data Fusion

Authors
Li Wang, Hongxia Guo
Corresponding Author
Li Wang
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.13How to use a DOI?
Keywords
multiple sensors; data fusion; key technology
Abstract

In the mid and late 20th century, with the rapid development of computer technology, control technology, electronic technology and sensor technology, etc., multi-sensor data fusion technology emerged. Data acquired by multi-sensor data fusion technology has multiple levels and grades, which is of more significance for practical application. Centered on multi-sensor data fusion technology, this paper first introduces data fusion, and then elaborates on key technologies of multi-sensor data fusion, in the hope of promoting further development of these technologies.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-16.2016.13How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Wang
AU  - Hongxia Guo
PY  - 2017/01
DA  - 2017/01
TI  - Exploring Key Technologies of Multi-Sensor Data Fusion
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 64
EP  - 67
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.13
DO  - https://doi.org/10.2991/icmmita-16.2016.13
ID  - Wang2017/01
ER  -