[robotics-worldwide] Call for Abstracts: SPIE Defense, Security & Sensing Symposium 2012

DAMIAN M. LYONS dlyons at fordham.edu
Tue Oct 4 14:25:47 PDT 2011

If you are working on information or data fusion algorithms in robotics, the conference below is an opportunity to share your work with others working in the fusion algorithms community, especially in defense, security & sensing related applications. I encourage you to submit a 250 word abstract by Oct 10th.

(Please Note: DSS has moved from Orlando FL to Baltimore MD this year.)


SPIE Defense, Security & Sensing Symposium 

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012
Conference DS223

Conference Chair
Jerome J. Braun, MIT Lincoln Lab. 

Program Committee
Sheela V. Belur, The Van Dyke Technology Group, Inc.; D. Paul Benjamin, Pace Univ.; Belur V. Dasarathy, Information Fusion Technologies; Michael Heizmann, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany); Charles F. Hester, U.S. Army Research, Development and Engineering Command; Mieczyslaw M. Kokar, Northeastern Univ.; Damian M. Lyons, Fordham Univ.; Mirela Popa, General Dynamics Armament and Technical Products; Firooz A. Sadjadi, Lockheed Martin Maritime Systems & Sensors; Pierre Valin, Defence Research and Development Canada, Valcartier (Canada); Pramod Kumar Varshney, Syracuse Univ.; Shanchieh Jay Yang, Rochester Institute of Technology 

This conference is designed to highlight the advances being made in the exponentially growing field of multisensor, multisource information fusion and will cover all the different facets of information fusion systems starting from the conceptual design through development, testing, and fielding. 

The main objective of the conference will be to promote synergistic exploitation of the ideas from the different areas of endeavor that together constitute the field of information fusion. In particular, the emphasis will be on the triplet: Architectures, Algorithms, and Applications. Papers dealing with intelligent techniques that are relevant to fusion processing are actively sought. Applications from both defense and civilian domains (such as robotics, medicine, and space, as well as those dealing with non-traditional information sources) are welcome to further a fruitful exchange of issues and ideas. Studies dealing with real-world issues, such as computational demands, real-time constraints, and the like are particularly encouraged. Papers that address one or more of the questions of what, where, why, when, and how in the context of multisource information fusion fall within the scope of the conference. 

Areas of interest include but are not limited to: 
multisensor, multisource fusion system architectures 
data, feature, decision, and multilevel fusion 
higher levels of JDL including situation awareness (SA), threat assessment, and impact assessment 
application of SA techniques to such areas as cyber, tactical, global, and asymmetric threats 
multi-classifier fusion, algorithmic processes fusion 
elucidative fusion systems, fusion benefits assessment and prediction, and associated metrics 
multi-look and temporal fusion 
active, passive, and mixed sensor suites as well as non-traditional data/information sources such as databases and HUMINT 
adaptive and self-improving fusion system architectures 
multisensor and distributed sensor system design 
fusion learning in imperfect, imprecise, and incomplete environments 
intelligent techniques for fusion processing 
computational resources optimization 
customized hardware dedicated to fusion applications 
system design and algorithmic issues 
linguistic information fusion, including fusion ontologies and semantic web 
neurophysiologically motivated architectures and applications 
biomedical applications, including ICU patient monitoring, health care, and diagnostics 
homeland defense including military and civilian 
other real-world applications such as robotics, mine detection, remote sensing, transportation systems, document analysis, character recognition, identity verification, multisensor intrusion detection, and the like. 

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