High Level Information Fusion developments, issues, and grand challenges

Erik Blasch; James Llinas; Dale Lambert; Pierre Valin; Subrata Das; Chee Chong; Mitch Kokar; Elisa Shahbazian

doi:10.1109/ICIF.2010.5712116

High Level Information Fusion developments, issues, and grand challenges

Erik Blasch
, James Llinas
, Dale Lambert
, Pierre Valin
, Subrata Das
, Chee Chong
, Mitch Kokar
, Elisa Shahbazian

Department of Industrial and Systems Engineering

Defence Research and Development Canada
Defence Science & Technology Group
Xerox
BAE Systems
Northeastern University
OODA Technologies

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

50 Scopus citations

Abstract

The goal of the High-Level Information Fusion (HLIF) Panel Discussion is to present contemporary HLIF advances and developments to determine unsolved grand challenges and issues. The discussion will address the issues between low-level (signal processing and object state estimation and characterization) and high-level information fusion (control, situational understanding, and relationships to the environment). Specific areas of interest include modeling (situations, environments), representations (semantic, knowledge, and complex), systems design (scenario-based, user-based, distributedagent) and evaluation (measures of effectiveness and empirical case studies). The goal is to address the contemporary operational and strategic issues in information fusion system design.

Original language	English
Title of host publication	13th Conference on Information Fusion, Fusion 2010
Publisher	IEEE Computer Society
ISBN (Print)	9780982443811
DOIs	https://doi.org/10.1109/ICIF.2010.5712116
State	Published - 2010

Publication series

Name	13th Conference on Information Fusion, Fusion 2010

Keywords

Fusion
Resource/sensor management
Situational/impact assessment
User refinement

Access to Document

10.1109/ICIF.2010.5712116

Cite this

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title = "High Level Information Fusion developments, issues, and grand challenges",

abstract = "The goal of the High-Level Information Fusion (HLIF) Panel Discussion is to present contemporary HLIF advances and developments to determine unsolved grand challenges and issues. The discussion will address the issues between low-level (signal processing and object state estimation and characterization) and high-level information fusion (control, situational understanding, and relationships to the environment). Specific areas of interest include modeling (situations, environments), representations (semantic, knowledge, and complex), systems design (scenario-based, user-based, distributedagent) and evaluation (measures of effectiveness and empirical case studies). The goal is to address the contemporary operational and strategic issues in information fusion system design.",

keywords = "Fusion, Resource/sensor management, Situational/impact assessment, User refinement",

author = "Erik Blasch and James Llinas and Dale Lambert and Pierre Valin and Subrata Das and Chee Chong and Mitch Kokar and Elisa Shahbazian",

year = "2010",

doi = "10.1109/ICIF.2010.5712116",

language = "English",

isbn = "9780982443811",

series = "13th Conference on Information Fusion, Fusion 2010",

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}

High Level Information Fusion developments, issues, and grand challenges. / Blasch, Erik; Llinas, James; Lambert, Dale et al.
13th Conference on Information Fusion, Fusion 2010. IEEE Computer Society, 2010. 5712116 (13th Conference on Information Fusion, Fusion 2010).

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

TY - GEN

T1 - High Level Information Fusion developments, issues, and grand challenges

AU - Blasch, Erik

AU - Llinas, James

AU - Lambert, Dale

AU - Valin, Pierre

AU - Das, Subrata

AU - Chong, Chee

AU - Kokar, Mitch

AU - Shahbazian, Elisa

PY - 2010

Y1 - 2010

N2 - The goal of the High-Level Information Fusion (HLIF) Panel Discussion is to present contemporary HLIF advances and developments to determine unsolved grand challenges and issues. The discussion will address the issues between low-level (signal processing and object state estimation and characterization) and high-level information fusion (control, situational understanding, and relationships to the environment). Specific areas of interest include modeling (situations, environments), representations (semantic, knowledge, and complex), systems design (scenario-based, user-based, distributedagent) and evaluation (measures of effectiveness and empirical case studies). The goal is to address the contemporary operational and strategic issues in information fusion system design.

AB - The goal of the High-Level Information Fusion (HLIF) Panel Discussion is to present contemporary HLIF advances and developments to determine unsolved grand challenges and issues. The discussion will address the issues between low-level (signal processing and object state estimation and characterization) and high-level information fusion (control, situational understanding, and relationships to the environment). Specific areas of interest include modeling (situations, environments), representations (semantic, knowledge, and complex), systems design (scenario-based, user-based, distributedagent) and evaluation (measures of effectiveness and empirical case studies). The goal is to address the contemporary operational and strategic issues in information fusion system design.

KW - Fusion

KW - Resource/sensor management

KW - Situational/impact assessment

KW - User refinement

UR - https://www.scopus.com/pages/publications/79952375488

U2 - 10.1109/ICIF.2010.5712116

DO - 10.1109/ICIF.2010.5712116

M3 - Conference contribution

AN - SCOPUS:79952375488

SN - 9780982443811

T3 - 13th Conference on Information Fusion, Fusion 2010

BT - 13th Conference on Information Fusion, Fusion 2010

PB - IEEE Computer Society

ER -

High Level Information Fusion developments, issues, and grand challenges

Abstract

Publication series

Keywords

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