Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2013 Oct 27:2013:704504.
doi: 10.1155/2013/704504. eCollection 2013.

A review of data fusion techniques

Federico Castanedo  1
Affiliations
Review

A review of data fusion techniques

Federico Castanedo. ScientificWorldJournal. .

Abstract

The integration of data and knowledge from several sources is known as data fusion. This paper summarizes the state of the data fusion field and describes the most relevant studies. We first enumerate and explain different classification schemes for data fusion. Then, the most common algorithms are reviewed. These methods and algorithms are presented using three different categories: (i) data association, (ii) state estimation, and (iii) decision fusion.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Whyte's classification based on the relations between the data sources.
Figure 2
Figure 2
Dasarathy's classification.
Figure 3
Figure 3
The JDL data fusion framework.
Figure 4
Figure 4
Classification based on the type of architecture.
Figure 5
Figure 5
Conceptual overview of the data association process from multiple sensors and multiple targets. It is necessary to establish the set of observations over time from the same object that forms a track.
See this image and copyright information in PMC

References

    1. JDL. Data Fusion Lexicon. Technical Panel For C3. San Diego, Calif, USA: F.E. White; Code 420, 1991.
    1. Hall DL, Llinas J. An introduction to multisensor data fusion. Proceedings of the IEEE. 1997;85(1):6–23.
    1. Durrant-Whyte HF. Sensor models and multisensor integration. International Journal of Robotics Research. 1988;7(6):97–113.
    1. Dasarathy BV. Sensor fusion potential exploitation-innovative architectures and illustrative applications. Proceedings of the IEEE. 1997;85(1):24–38.
    1. Luo RC, Yih C-C, Su KL. Multisensor fusion and integration: approaches, applications, and future research directions. IEEE Sensors Journal. 2002;2(2):107–119.

MeSH terms