Plenaries
Schedule |
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| Tuesday, 10 July 08:00 a.m. | Dr. James Llinas, State University of New York at Buffalo | |||
| New Challenges for Defining Information Fusion Requirements | ||||
| Wednesday, 11 July 08:00 a.m. | Alain Appriou, ONERA | |||
| Knowledge Propagation: A Federative Look at Developments in the Framework of Belief Function Theories | ||||
| Thursday, 12 July 08:00 a.m. | Masatoshi Ishikawa, University of Tokyo | |||
| System Architecture for Dynamic Information Fusion: Dynamics Matching and Meta Perception | ||||
Dr. James Llinas |
| Professor, Executive Director |
Center for Multisource Information Fusion |
State University of New York at Buffalo |
Buffalo, New York, USA |
Email: llinas@eng.buffalo.edu |
Abstract:
The changing geopolitical landscape in the world has been and will continue to be the
driving framework within which requirements for new and adaptable capabilities in
Information Fusion (IF) technology are defined. For major nation-states of the world,
this changing landscape will, it is argued, generate new challenges that significantly
broaden both the range and adaptive nature of the capability that future IF systems
must have. Another dramatically changing landscape is that of information networking,
and the integration and exploitation of such networking in military and defense
operations have led to transformations in military thinking and culture, even to the
consideration of radically new socio-organizational dynamics for Command and
Control (C2). Further, the need to develop deeper insights into agile and creative
adversarial behaviors imparts what is called here the need for a “multi-perspective”
nformation Fusion process that will require new ways to think about exploiting both
traditional and novel Intelligence, Surveillance, and Reconnaissance (ISR) sources.
Further, there is the impact of informational dimensionality via the need, similarly
motivated, to fuse and exploit the “PMESII” (Political, Military, Economic, Social,
Infrastructure, Information) spectrum of information. Lastly, there is the desire on the
part of the military to focus on “Effects-based” operations; here too there is an impact
of new requirements onto the Data Fusion process.
These extensive changes in both the application context and the technological
foundations for IF have far-reaching implications for the both the architectural design
of IF processes as well as the foundational algorithms employed in IF systems.
Significant challenges exist toward achieving robustness and scalability of IF
capabilities, the role of and support to human involvement on the IF process, and
the ability of IF systems to estimate not only states in the physical domain but also
in the informational and cognitive domains. This paper and presentation will survey
this extensive new and changing landscape as regards the impacts on IF
requirements, with some thoughts on new strategies for IF process design.
Alain APPRIOU |
| ONERA, BP 72, 92322 CHATILLON CEDEX, France |
Tel : +33 1 46 73 49 19, Fax : +33 1 46 73 41 63 |
Email: Alain.Appriou@onera.fr |
Abstract:
Information systems have to process more and more disparate complementary
sources in an efficient way, in order to face the increased complexity of environments
and requirements. Therefore they have to deal with individual believes expressed on
heterogeneous frames of discernment that may have with each other uncertain or
imprecise relations, so that it becomes unsuitable to look for a common one as usually
proposed by classical data fusion theories. To face this context, the ability of the belief
function theories now to propagate knowledge from one frame of discernment to
another is emphasized on the basis of a generic operator named “extension”.
Furthermore, the latter provides a general formulation of the different operators that
constitute a complete and coherent processing of multiple uncertain observations,
from their modeling up to the required decision making. Therefore the particular
conditions that lead to the traditional operators can be specified, in order to provide a
federative view of recent developments about sensitive problems faced in the
framework of the uncertainty theories, such as information unreliability, source
conflict, or adaptive decision making, for instance. The implementation of the generic
operator is described, and a few examples illustrate a suitable management of uncertainty
processing thanks to available tools.
Masatoshi Ishikawa |
| Professor |
School of Information Science and Technology University of Tokyo |
Abstract:
Information in the real world is structured in an inherently parallel way.
In order to obtain fruitful information by processing sensor data from the real world as
well as from files in computers, the key concept may be a system based on a
hierarchical parallel and distributed processing architecture, capable of working in
real time. In addition, dynamics matching as a system design concept and
meta-perception as a system application are proposed as new points of view for
dynamic information fusion. Dynamics matching means that physically defined time
constants of system elements such as sensors, actuators, objects, environment, and
processing modules should be matched with each other. Meta perception includes
various methods for capturing and manipulating information that is normally
inaccessible to humans and machines In this presentation, a high speed image
processing system with 1 kHz image processing rate based on pixel parallel processing
architecture will be shown with applications ranging from multi target tracking
(1000 targets per 1 ms), high speed 3D range data acquisition (1000 points pre 1 ms),
to micro visual tracking system and visual inspection. In addition, a sensory-motor
fusion system capable of realizing high-speed catching, batting, grasping, and dribbling
based on dynamics matching and high speed visual feedback will be presented. On the
other hand, the "Khronos Projector" interactive-art installation, and the haptic radar
will be shown as examples of meta-perception applications.