Multisensor data fusion: Antecedents and directions

Bahador Khaleghi; Saiedeh N. Razavi; Alaa Khamis; Fakhreddine O. Karray; Mohamed Kamel

doi:10.1109/ICSCS.2009.5412296

Multisensor data fusion: Antecedents and directions

Bahador Khaleghi^*, Saiedeh N. Razavi, Alaa Khamis, Fakhreddine O. Karray, Mohamed Kamel

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

The notion of combining redundant and comple-mentary sensory data to achieve higher quality information has been around for long time. For example, biological systems usually rely on fusion of multimodality sensory data to per-ceive the surrounding environment. There has been an ever-increasing interest in multi-disciplinary research on multisensor data fusion technology driven by its versatility and diverse areas of application. This paper presents an overview of data fusion state of the art discussing advances in fusion methodologies and architectures. In addition, future directions of research in data fusion community including large-scale, hybrid, secure fusion, and importance of standard evaluation framework are highlighted and described.

Original language	English
Title of host publication	3rd International Conference on Signals, Circuits and Systems, SCS 2009
DOIs	https://doi.org/10.1109/ICSCS.2009.5412296
State	Published - 2009
Externally published	Yes
Event	3rd International Conference on Signals, Circuits and Systems, SCS 2009 - Medenine, Tunisia Duration: 6 Nov 2009 → 8 Nov 2009

Publication series

Name	3rd International Conference on Signals, Circuits and Systems, SCS 2009

Conference

Conference	3rd International Conference on Signals, Circuits and Systems, SCS 2009
Country/Territory	Tunisia
City	Medenine
Period	6/11/09 → 8/11/09

Keywords

Fusion architectures
Fusion methodologies
Multisensor data fusion

ASJC Scopus subject areas

Computer Networks and Communications
Control and Systems Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICSCS.2009.5412296

Cite this

@inproceedings{cf4e318dd65b4ac3b3d76e3021447e66,

title = "Multisensor data fusion: Antecedents and directions",

abstract = "The notion of combining redundant and comple-mentary sensory data to achieve higher quality information has been around for long time. For example, biological systems usually rely on fusion of multimodality sensory data to per-ceive the surrounding environment. There has been an ever-increasing interest in multi-disciplinary research on multisensor data fusion technology driven by its versatility and diverse areas of application. This paper presents an overview of data fusion state of the art discussing advances in fusion methodologies and architectures. In addition, future directions of research in data fusion community including large-scale, hybrid, secure fusion, and importance of standard evaluation framework are highlighted and described.",

keywords = "Fusion architectures, Fusion methodologies, Multisensor data fusion",

author = "Bahador Khaleghi and Razavi, \{Saiedeh N.\} and Alaa Khamis and Karray, \{Fakhreddine O.\} and Mohamed Kamel",

year = "2009",

doi = "10.1109/ICSCS.2009.5412296",

language = "English",

isbn = "9781424443987",

series = "3rd International Conference on Signals, Circuits and Systems, SCS 2009",

booktitle = "3rd International Conference on Signals, Circuits and Systems, SCS 2009",

note = "3rd International Conference on Signals, Circuits and Systems, SCS 2009 ; Conference date: 06-11-2009 Through 08-11-2009",

}

Khaleghi, B, Razavi, SN, Khamis, A, Karray, FO & Kamel, M 2009, Multisensor data fusion: Antecedents and directions. in 3rd International Conference on Signals, Circuits and Systems, SCS 2009., 5412296, 3rd International Conference on Signals, Circuits and Systems, SCS 2009, 3rd International Conference on Signals, Circuits and Systems, SCS 2009, Medenine, Tunisia, 6/11/09. https://doi.org/10.1109/ICSCS.2009.5412296

Multisensor data fusion: Antecedents and directions. / Khaleghi, Bahador; Razavi, Saiedeh N.; Khamis, Alaa et al.
3rd International Conference on Signals, Circuits and Systems, SCS 2009. 2009. 5412296 (3rd International Conference on Signals, Circuits and Systems, SCS 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multisensor data fusion

T2 - 3rd International Conference on Signals, Circuits and Systems, SCS 2009

AU - Khaleghi, Bahador

AU - Razavi, Saiedeh N.

AU - Khamis, Alaa

AU - Karray, Fakhreddine O.

AU - Kamel, Mohamed

PY - 2009

Y1 - 2009

N2 - The notion of combining redundant and comple-mentary sensory data to achieve higher quality information has been around for long time. For example, biological systems usually rely on fusion of multimodality sensory data to per-ceive the surrounding environment. There has been an ever-increasing interest in multi-disciplinary research on multisensor data fusion technology driven by its versatility and diverse areas of application. This paper presents an overview of data fusion state of the art discussing advances in fusion methodologies and architectures. In addition, future directions of research in data fusion community including large-scale, hybrid, secure fusion, and importance of standard evaluation framework are highlighted and described.

AB - The notion of combining redundant and comple-mentary sensory data to achieve higher quality information has been around for long time. For example, biological systems usually rely on fusion of multimodality sensory data to per-ceive the surrounding environment. There has been an ever-increasing interest in multi-disciplinary research on multisensor data fusion technology driven by its versatility and diverse areas of application. This paper presents an overview of data fusion state of the art discussing advances in fusion methodologies and architectures. In addition, future directions of research in data fusion community including large-scale, hybrid, secure fusion, and importance of standard evaluation framework are highlighted and described.

KW - Fusion architectures

KW - Fusion methodologies

KW - Multisensor data fusion

UR - https://www.scopus.com/pages/publications/77951480002

U2 - 10.1109/ICSCS.2009.5412296

DO - 10.1109/ICSCS.2009.5412296

M3 - Conference contribution

AN - SCOPUS:77951480002

SN - 9781424443987

T3 - 3rd International Conference on Signals, Circuits and Systems, SCS 2009

BT - 3rd International Conference on Signals, Circuits and Systems, SCS 2009

Y2 - 6 November 2009 through 8 November 2009

ER -

Multisensor data fusion: Antecedents and directions

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this