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
Approximating fuzzy measures by hierarchically decomposable ones
Tập 1 - Trang 191-198 vol.1
Choquet and Sugeno integrals are powerful data fusion operators for numerical
data as they generalize some well known aggregation operators as arithmetic
means, weighted means, order statistics, OWA operators, medians, and so on.
However, real applications of these operators require the definition of the
so-called fuzzy measure. Difficulties for defining these measures arise because
the number of ...
#Fuzzy sets #Particle measurements #Fuzzy logic #Arithmetic #Statistics #Open wireless architecture #Humans #Sensor fusion #Fuses #Weight measurement
Performance analysis of two sequential Monte Carlo methods and posterior Cramer-Rao bounds for multi-target tracking
Tập 1 - Trang 464-473 vol.1
The multi-target tracking algorithms generally present two basic ingredients: an
estimation algorithm coupled with a data association method. In the last years,
the use of sequential Monte Carlo methods has grown in many application domains
and in particular in target tracking. The state distribution is then estimated
with a finite weighted sum of Dirac laws centered around "particles". Very
recen...
#Performance analysis #Target tracking #State estimation #Sliding mode control #Monte Carlo methods #Filtering #Equations #Estimation error #Nonlinear filters
Dynamic I/O power management in real-time systems with multiple-state I/O devices
Tập 2 - Trang 1588-1595 vol.2
Power consumption is now an important design parameter for distributed sensor
networks. While dynamic (or software-controlled) power management (DPM) is being
increasingly used as an alternative to inflexible hardware solutions, DPM for
hard real-time systems has received relatively little attention. In particular,
energy-driven I/O device scheduling for real-time systems has received even less
at...
#Energy management #Power system management #Real time systems #Energy consumption #Sensor systems #Muscles #Clocks #Hardware #Wireless sensor networks #Hard disks
Interferometric image fusion: interferometry in space
Tập 2 - Trang 1221-1227 vol.2
Image fusion and information extraction from multiple spacecraft can occur after
each image is sampled and digitized. A more tantalizing, but difficult, approach
would be to optically phase multiple spacecraft flying in formation. Phasing of
multiple spacecraft allows for coherent addition of imagery resulting in an
optical system with a synthetic aperture as large as distance between the
spacecra...
#Image fusion #Optical interferometry #Space vehicles #Adaptive optics #Image resolution #Space technology #Data mining #Optical imaging #Extrasolar planet #System testing
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
Tập 1 - 2002
The following topics are dealt with: AFOSR Information Fusion Initiative;
multiple model tracking; probabilistic multi-hypothesis tracking; track fusion;
GMTI tracking; information fusion for critical infrastructure protection; image
fusion and exploitation; data association; information modeling and learning;
information fusion techniques for surveillance and security applications;
situation anal...
#Multisensor systems #Bayes procedures #Security #Surveillance #Fuzzy logic #Estimation #Monte Carlo methods #Probability
Multi-sensor data fusion architecture based on adaptive Kalman filters and fuzzy logic performance assessment
Tập 2 - Trang 1542-1549 vol.2
In this work a novel multi-sensor data fusion (MSDF) architecture is presented.
First, each measurement-vector coming from each sensor is fed to a fuzzy
logic-based adaptive Kalman filter (FL-AKF); thus there are N sensors and N
FL-AKFs working in parallel. The adaptation in each FL-AKF is, in the sense of
dynamically tuning the measurement noise covariance matrix R, employing a fuzzy
inference sy...
#Fuzzy logic #State estimation #Kalman filters #Filtering #Covariance matrix #Fuzzy systems #Adaptive filters #Computer architecture #Difference equations #Programmable control
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