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
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
Model-set design for multiple-model method. II. Examples
Tập 2 - Trang 1347-1354 vol.2
This paper presents several examples that illustrate how the theoretical results
presented in part I and other work can be applied, along with a demonstration of
their effectiveness, in the context of MM estimation for air traffic control
surveillance. Model-set design and choice examples are presented. The importance
and usefulness of modeling true mode and models as random variables are
demonstr...
#Design methodology #Surveillance #Algorithm design and analysis #Target tracking #Air traffic control #Position measurement #Noise measurement #Helium #Adaptive estimation #Adaptation model
Công nghệ hội tụ thông tin: tổng quan về kiến trúc cấp cao Dịch bởi AI
Tập 1 - Trang 680-686 vol.1
Trong suốt thập kỷ qua, thuật ngữ Hội tụ đã trở thành đồng nghĩa với nhận thức
về chiến thuật hoặc không gian tác chiến sau khi xung đột đã bắt đầu. Do đó,
công việc đã tập trung vào việc nhận dạng đối tượng, các thuật toán theo dõi và
việc sử dụng nhiều nguồn để giảm thiểu độ không chắc chắn và tối đa hóa sự bao
phủ. Khi nhiều tình huống diễn ra trên toàn thế giới, những quyết định chiến
lược thô...
#Phòng thí nghiệm #Độ không chắc chắn #Công nghệ thông tin #Đánh giá trạng thái #Giám sát #Các sáng kiến nghiên cứu #Nhân sự
Fuzzy statistical classification method for multiband image fusion
Tập 1 - Trang 178-184 vol.1
We propose a new fusion algorithm based on the Dempster-Shafer theory of
evidence. The main interest of this method is a new distribution of mass
functions. Generally the methods used are the mass consonant distribution and
the partially mass consonant distribution. The originality of this work is to
define uncertain and inaccurate data by using a fuzzy statistical classification
algorithm such as...
#Image fusion #Remote sensing #Classification algorithms #Bayesian methods #Uncertainty #Distribution functions #Stochastic processes #Fuzzy reasoning #Statistical analysis #Pixel
Proceedings of the Fifth International Conference on Information Fusion [front matter]
Tập 2 - Trang i-xxv - 2002
Conference proceedings front matter may contain various advertisements, welcome
messages, committee or program information, and other miscellaneous conference
information. This may in some cases also include the cover art, table of
contents, copyright statements, title-page or half title-pages, blank pages,
venue maps or other general information relating to the conference that was part
of the ori...
Radar detection improvement by integration of multi-object tracking
Tập 2 - Trang 1249-1255 vol.2
This paper presents a new and simple approach to the problem of multiple sensor
data fusion. We introduce an efficient algorithm that can fuse multiple sensor
measurements to track an arbitrary number of objects in a cluttered environment.
The algorithm combines conventional Kalman filtering techniques with
probabilistic data association methods. A Gauss Markov process model is assumed
to handle s...
#Radar detection #Radar tracking #Sensor fusion #Fuses #Filtering algorithms #Kalman filters #Gaussian processes #Markov processes #Sampling methods #Frequency
Learning Bayesian networks. II. A computational algorithm
Tập 2 - Trang 777-783 vol.2
For pt. I see ibid., pp. 769-76. Following the theory developed in a companion
paper, this paper presents a general algorithm for learning Bayesian networks
from data. The algorithm implements a global optimisation of a joint MAP-MDL
score aiming at discovering the best Bayesian network model underlying the given
data set. The whole procedure is divided into three phases. The first phase aims
at f...
#Bayesian methods #Testing #Statistics #Computer networks #Computational intelligence #Intelligent networks #Intelligent structures #Remote sensing #Data engineering #Floors
Combining IMM and JPDA for tracking multiple maneuvering targets in clutter
Tập 1 - Trang 705-712 vol.1
The paper combines IMM and JPDA for tracking of multiple possibly maneuvering
targets in case of clutter and possibly missed measurements while avoiding
sensitivity to track coalescence. The effectiveness of the filter is illustrated
through Monte Carlo simulations.
#Target tracking #Equations #Linear systems #Laboratories #Bayesian methods #Hidden Markov models #Smoothing methods #Nonlinear filters #Filtering #Stochastic processes