Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
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Các bài báo tiêu biểu
Information fusion for image analysis: geospatial foundations for higher-level fusion
Tập 1 - Trang 562-569 vol.1
In support of the AFOSR program in Information Fusion, the CNS Technology
Laboratory at Boston University is developing and applying neural models of
image and signal processing, pattern learning and recognition, associative
learning dynamics, and 3D visualization, to the domain of Information Fusion for
Image Analysis in a geospatial context. Our research is focused by a challenge
problem involvi...
#Image analysis #Laboratories #Context modeling #Signal processing #Pattern recognition #Image recognition #Vehicle dynamics #Visualization #Focusing #Terrorism
A new method for representing linguistic quantifications by random sets with applications to tracking and data fusion
Tập 2 - Trang 1308-1315 vol.2
There is an obvious need to be able to integrate both linguistic-based and
stochastic-based input information in data fusion. In particular, this need is
critical in addressing problems of track association, including cyber-state
intrusions. This paper treats this issue through a new insight into how three
apparently distinct mathematical tools can be combined: "boolean relational
event algebra" (...
#Algebra #Fuzzy logic #Fuzzy sets #Educational institutions #Probabilistic logic #Arithmetic #Natural languages #Stochastic processes #Information security #Testing
Collaborative multi-modality target classification in distributed sensor networks
Tập 1 - Trang 285-290 vol.1
A new computing paradigm which utilizes mobile agents to carry out collaborative
target classification in distributed sensor networks is presented in this paper.
Instead of each sensor sending local classification results to a processing
center where the fusion process is taken place, a mobile agent is dispatched
from the processing center and the fusion process is executed at each sensor
node. Th...
#Collaboration #Intelligent networks #Multimodal sensors #Sensor fusion #Sensor phenomena and characterization #Mobile agents #Costs #Wireless sensor networks #Computer networks #Distributed computing
Computable rate of convergence in evolutionary computation
Tập 1 - Trang 88-93 vol.1
The broad field of evolutionary computation (EC)-including genetic algorithms as
a special case-has attracted much attention in the last several decades. Many
bold claims have been made about the effectiveness of various EC algorithms.
These claims have centered on the efficiency, robustness, and ease of
implementation of EC approaches. Unfortunately, there seems to be little theory
to support suc...
#Convergence #Evolutionary computation #Genetic algorithms #Genetic mutations #Laboratories #Physics computing #Robustness #Stochastic processes #Monte Carlo methods #Computational modeling
General tracking performance description for systems of sensors
Tập 1 - Trang 128-134 vol.1
Traditionally, radar or sensor performance is reviewed in terms of detection
ranges and measurement accuracy. Today, when the radar often is a part of a
locally integrated sensor system, which shall cooperate with other sensor
systems, other performance parameters are required for evaluation and comparison
of various solutions. The present paper gives an analysis method for
descriptions of the tra...
#Sensor phenomena and characterization #Sensor systems #Radar tracking #Sensor fusion #Performance analysis #Radar measurements #Radar detection #Surveillance #Data visualization #System performance
Adapting a commercial simulation framework to the needs of information fusion research
Tập 1 - Trang 220-227 vol.1
The paper develops and argues usage requirements emanating from information
fusion research on simulation frameworks. Based on these requirements, a
next-generation simulation framework is currently being designed by one
framework vendor.
#Computational modeling #Intelligent sensors #Command and control systems #Resource management #Sensor fusion #Software algorithms #Computer simulation #Information management #Laboratories #Software testing
Fusion of X-ray and geometrical data in computed tomography for nondestructive testing applications
Tập 1 - Trang 309-316 vol.1
X-ray computed tomography (CT) is widely used in nondestructive testing (NDT)
techniques. While in medical imaging, classical methods based on backprojection
(BP) or algebraic reconstruction techniques (ART) are satisfactory, in NDT
applications, data acquisition constraints are such that these methods do not
give satisfactory results. There is then a need for extra information and other
kinds of ...
#Computed tomography #X-ray imaging #Nondestructive testing #Image reconstruction #Biomedical imaging #Subspace constraints #Data acquisition #Radiography #Bayesian methods #Shape
Design optimisation of the Nadaraya-Watson fuser using a genetic algorithm
Tập 1 - Trang 327-332 vol.1
The Nadaraya-Watson (N-W) statistical estimator based on Haar kernels can be
used to implement a fuser based on empirical data. Fuser design essentially
consists of the following interrelated activities: select a set of n
observations from a pool of p prior observations; select a value for the
bandwidth. Optimal fuser design can therefore involve a very large search space.
This paper proposes the ...
#Algorithm design and analysis #Design optimization #Genetic algorithms #Kernel #Bandwidth #Sensor fusion #Sensor systems #Digital communication #Testing #Feedforward systems
Multitarget miss distance and its applications
Tập 1 - Trang 149-155 vol.1
The concept of miss distance-Euclidean, Mahalanobis, etc.-is a fundamental,
far-reaching, and taken-for-granted element of the engineering theory and
practice of single-sensor, single-target systems. One might expect that
multisensor, multitarget information fusion theory and applications would
already rest upon a similarly fundamental concept-namely, miss distance between
multi-object systems (i....
#Optimal control #Target tracking #Sensor phenomena and characterization #Sensor systems #Engineering management #Systems engineering and theory #Position measurement #Collaboration
Tracking algorithm speed comparisons between MHT and PMHT
Tập 2 - Trang 846-851 vol.2
The Probabilistic Multi-Hypothesis Tracker (PMHT) is an emerging tracking
algorithm that appears to have the potential to compete with other
well-established tracking algorithms. One of the values that the PMHT brings to
the tracking problem is its computational efficiency that grows linearly as the
number of targets increases, whereas most tracking algorithms increase
exponentially as targets inc...
#Target tracking #Nearest neighbor searches #Modems #Real time systems #Time measurement #Covariance matrix #Robustness #Testing #Clocks #Current measurement