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
Particle filtering for multi-target tracking and sensor management
Tập 1 - Trang 474-481 vol.1
In this paper, we present computational methods based on particle filters to
address the multi-target tracking and sensor management problems. We present a
jump Markov model of multi-target systems and an efficient particle filtering
algorithm to perform inference. In addition, we also present a formulation of
the sensor management problem and its solution using particle methods.
#Particle tracking #Target tracking #Particle filters #Sensor fusion #Sensor systems #State estimation #Nonlinear dynamical systems #Engineering management #Filtering algorithms #Optimal control
Noise estimation for star tracker calibration and enhanced precision attitude determination
Tập 1 - Trang 235-242 vol.1
This paper presents the design, development, and validation of a nonlinear least
square estimation scheme applied to star tracker noise extraction and
identification. The paper is the by-product of a Post-Launch Test (PLT) tool
development effort conducted by two independent teams, Swales/NASA and Boeing.
The main objective is to have a set of tools ready to provide on-orbit support
to the GOES N-...
#Calibration #Position measurement #Frequency #Least squares approximation #Testing #NASA #Filters #Image reconstruction #Navigation #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
Monte Carlo-based filter for target tracking with feature measurement
Tập 2 - Trang 1499-1505 vol.2
Monte Carlo-based algorithm for tracking maneuvering target with a feature
measurement is proposed in the paper Amplitude Information (AI) is used as a
feature for state estimation of relatively low observable target (low
Signal-to-Noise Ratio (SNR)) in the presence of high rate of false alarms.
Rayleigh distributed noise amplitude and Swerling 3 type target model are
assumed. The stochastic filte...
#Filters #Target tracking #Artificial intelligence #Signal to noise ratio #State estimation #Noise level #Stochastic resonance #Kinematics #Performance analysis #Analytical models
Robust tracking with cooperative parallel controllers
Tập 1 - Trang 251-258 vol.1
This paper deals with robust tracking of time varying signals when there are
abrupt, sudden random changes in the system parameters, the sensor gains or the
transducers. Robustness of the filter is achieved by introducing a parallel
cooperative controller and utilizing a new nonlinear gain-tuning algorithm for
the adjusting jump parameters. By the aid of this algorithm, the filter remains
stable e...
#Robust control #Instruments #Stability #Filters #Control systems #Switches #Muscles #Nerve fibers #Humans #Parallel processing
New assignment-based data association for tracking move-stop-move targets
Tập 2 - Trang 943-950 vol.2
In this paper we present a new assignment-based algorithm for data association
in tracking ground targets employing evasive move-stop-move maneuvers using
moving target indicator (MTI) reports obtained from an airborne sensor. To avoid
detection by the MTI sensor, the targets deliberately stop for some time before
moving again. The sensor does not detect a target when the latter's radial
velocity ...
#Target tracking #State estimation #Cellular neural networks #Filtering #Event detection #Motion measurement #Azimuth #Degradation #Filters #Surfaces
Fusing binary and continuous output of multiple classifiers
Tập 1 - Trang 380-387 vol.1
This paper describes a fusion architecture and implementation for classifiers
with binary as well: as continuous output. The fusion scheme is represented as a
multi-layered architecture which structures the approach into pre-processing,
analysis, and post-processing. All components are partitioned into layers where
each layer performs logical tasks. In particular, the pre-processing component
is p...
#Remote monitoring #Sampling methods #Engines #Frequency #Phase estimation
Bipolar logic and bipolar knowledge fusion
Tập 2 - Trang 1428-1433 vol.2
It is observed that Boolean logic is a unipolar logic defined in the unipolar
space {0,1}. It is argued that a unipolar system cannot be directly used to
represent and reason with the coexistence of bipolar truth. To circumvent the
representational and reasoning limitations of unipolar systems, a 4-valued
bipolar combinational logic BCL is introduced based on the ancient Chinese
Yin-Yang philosoph...
#Logic #Boolean functions #Polarization #Inference algorithms #Medical diagnostic imaging #Artificial intelligence #Knowledge representation