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检索条件"任意字段=Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009"

共 283 条记录，以下是21-30 订阅

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Multi-sensor fusion using an adaptive multi-hypothesis tracking algorithm

Multi-sensor fusion using an adaptive multi-hypothesis track...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2003

作者： Kester, LJHM TNO Phys & Elect Lab NL-2509 JG The Hague Netherlands

ISBN: (纸本)0819449598

The purpose of a tracking algorithm is to associate data measured by one or more (moving) sensors to moving objects in the environment. The state of these objects that can be estimated with the tracking process depends on the type of data that is provided by these sensors. It is discussed how the tracking algorithm can adapt itself, depending on the provided data, to improve data association. The core of the tracking algorithm,is an extended Kalman filter using multiple hypotheses for contact to track association. Examples of various sensor suites of radars, electro-optic sensors and acoustic sensors are presented.

关键词： sensor fusion tracking data association MHT

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The system parameter fusion principle and its application to fuzzy pattern recognition

The system parameter fusion principle and its application to...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2003

作者： Pu, QG Univ Sci & Technol Ctr Comp Suzhou 215011 Jiangsu Peoples R China

ISBN: (纸本)0819449598

Modern technology provides a great amount of information. In computer monitoring systems or computer control systems, especially real-time expert systems, in order to have the situation in hand, we need one or two parameters to express the quality and/or security of the whole system. This paper presents a principle for synthesizing measurements of multiple system parameters into a single parameter and its application to fuzzy pattern recognition.

关键词： sensor fusion fuzzy pattern recognition computer monitoring systems computer control systems realtime expert systems

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Non-algorithmic information fusion

Non-algorithmic information fusion

引用

Conference on multisensor, multisource information fusion

作者： Brander, Jim Interact Engn Sydney NSW Australia

ISBN: (纸本)9780819471659

This paper considers the applicability of algorithms, constraint solving and active structure across the spectrum of complexity of information fusion applications. information fusion is recast as a cognitive application using dynamic structure building and constraint reasoning. The similarity between situation awareness and an undirected structure responding to change is highlighted. The efficiency and speed of operation of cognitive information fusion are touched on. A tsunami warning system provides an example which involves multiple threat and demonstrates the difference between segmented algorithms making decisions without context, and the active use of knowledge.

关键词： non-algorithmic undirected constraint reasoning active structure self-modifiable dynamically extensible cognitive core

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Level 0-2 fusion model for ATR using fuzzy logic

<i>Level 0</i>-<i>2</i> fusion model for ATR using fuzzy log...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2010

作者： Hester, Charles F. Dobson, Kelly K. U.S. Army Aviation and Missile Research Development and Engineering Ctr. United States

ISBN: (纸本)9780819481740

The JDL model for fusion provides a structure for fusion of multispectral data at all levels. Fused data provides improved performance in Automatic Target Recognition (ATR). Critical to the overall fusion performance, however, is the low level(0-2) fusion of sensory and context information. Loss of information must be avoided at this level, but complexity must be reduced. A model is presented that uses fuzzy sets to form entities and capture the information needed for target recognition. Examples using multi-spectral imagery will be presented.

关键词： fuzzy logic ATR level 0-2 fusion JDL model

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Uncertainty Characterization Using Copulas for Classification

Uncertainty Characterization Using Copulas for Classificatio...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms, and applications

作者： Ozdemir, Onur Choi, Sora Allen, Thomas G. Varshney, Pramod K. Boston Fus Corp Burlington MA 01824 USA Syracuse Univ Dept EECS Syracuse NY USA

ISBN: (纸本)9781628416145

We address the problem of characterizing uncertainty for multisensor data fusion in a classification problem. To achieve this goal, we model the joint density of given multivariate data using copula functions while allowing the ability to incorporate any desired marginal distributions, i.e., any desired modalities. The proposed model is data driven in that the corresponding copula functions and their parameters are learned from the data. Our results show that the proposed framework can capture the uncertainties more accurately than current state of the practice, and lead to robust and improved classification performance compared to traditional classifiers.

关键词： multisource data fusion copula theory classification

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multisource taxonomy-based classification using the transferable belief model

Multisource taxonomy-based classification using the transfer...

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Conference on multisensor, multisource information fusion - architectures, algorithms, and applications

作者： Farrell, William J., III Knapp, Andrew M. Lakota Tech Solut Inc Laurel MD USA

ISBN: (纸本)9780819490858

This paper addresses the problem of multi-source object classification in a context where objects of interest are part of a known taxonomy and the classification sources report at varying levels of specificity. This problem must consider several technical challenges: a) support fusion of heterogeneous classification inputs, b) provide a computationally scalable approach that accommodates taxonomy's with thousands of leaf nodes, and c) provide outputs that support tactical decision aides and are suitable inputs for subsequent fusion processes. This paper presents an approach that employs the Transferable Belief Model, Pignistic Transforms, and Bayesian fusion to address these challenges.

关键词： Evidence Theory Transferable Belief Model Pignistic Transform Bayesian fusion information Theory Classification Data Association

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Distributed fault-tolerant classification fusion using error correcting codes

Distributed fault-tolerant classification fusion using error...

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Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2003

作者： Wang, TY Varshney, PK Han, YS Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA

ISBN: (纸本)0819449598

In this paper we propose a new approach for distributed multiclass classification using a hierarchical fusion architecture. Binary decisions from local sensors, possibly in the presence of faults, axe fused locally. Locally fused results are forwarded to the global fusion center that determines the final classification result. Classification fusion in our approach is implemented via error correcting codes to incorporate fault-tolerance capability. This new approach not only provides an improved fault-tolerance capability but also reduces bandwidth requirements as well as computation time and memory requirements at the fusion center. Numerical examples axe provided to illustrate the performance of this new approach.

关键词： distributed classification decision fusion multisensor fusion error correcting codes fault-tolerance

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GStreamer as a framework for image processing applications in image fusion

GStreamer as a framework for image processing applications i...

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Conference on multisensor, multisource information fusion - architectures, algorithms, and applications

作者： Burks, Stephen D. Doe, Joshua M. USA RDECOM CERDEC Night Vision & Elect Sensors Directorate Ft Belvoir VA 22060 USA

ISBN: (纸本)9780819486387

Multiple source band image fusion can sometimes be a multi-step process that consists of several intermediate image processing steps. Typically, each of these steps is required to be in a particular arrangement in order to produce a unique output image. GStreamer is an open source, cross platform multimedia framework, and using this framework, engineers at NVESD have produced a software package that allows for real time manipulation of processing steps for rapid prototyping in image fusion.

关键词： Image fusion Image processing Video MATLAB Video processing Sensors Frame grabbers Cameras Rapid manufacturing Superposition

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Reliable sources and uncertain decisions in multisensor systems

Reliable sources and uncertain decisions in multisensor syst...

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Conference on multisensor, multisource information fusion - architectures, algorithms, and applications

作者： Minor, Christian Johnson, Kevin Nova Res Inc Alexandria VA 22308 USA Naval Res Lab Washington DC 20375 USA

ISBN: (纸本)9781628416145

Conflict among information sources is a feature of fused multisource and multisensor systems. Accordingly, the subject of conflict resolution has a long history in the literature of data fusion algorithms such as that of Dempster-Shafer theory (DS). Most conflict resolution strategies focus on distributing the conflict among the elements of the frame of discernment (the set of hypotheses that describe the possible decisions for which evidence is obtained) through rescaling of the evidence. These "closed-world" strategies imply that conflict is due to the uncertainty in evidence sources stemming from their reliability. An alternative approach is the "open-world" hypothesis, which allows for the presence of "unknown" elements not included in the original frame of discernment. Here, conflict must be considered as a result of uncertainty in the frame of the discernment, rather than solely the province of evidence sources. Uncertainty in the operating environment of a fused system is likely to appear as an open-world scenario. Understanding the origin of conflict (source versus frame of discernment uncertainty) is a challenging area for research in fused systems. Determining the ratio of these uncertainties provides useful insights into the operation of fused systems and confidence in their decisions for a variety of operating environments. Results and discussion for the computation of these uncertainties are presented for several combination rules with simulated data sets.

关键词： multisensor systems data fusion sensor reliability interferants open-world sensing Dempster-Shafer theory combination rules

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Computationally efficient Bayesian tracking

Computationally efficient Bayesian tracking

引用

Conference on multisensor, multisource information fusion - architectures, algorithms, and applications

作者： Aughenbaugh, Jason La Cour, Brian Univ Texas Austin Appl Res Labs Austin TX 78712 USA

ISBN: (纸本)9780819490858

In this paper, we describe the progress we have achieved in developing a computationally efficient, grid-based Bayesian fusion tracking system. In our approach, the probability surface is represented by a collection of multidimensional polynomials, each computed adaptively on a grid of cells representing state space. Time evolution is performed using a hybrid particle/grid approach and knowledge of the grid structure, while sensor updates use a measurement-based sampling method with a Delaunay triangulation. We present an application of this system to the problem of tracking a submarine target using a field of active and passive sonar buoys.

关键词： Heterogeneous sensor fusion target tracking Bayesian fusion

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