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Proceedings of the 27th Asilomar Conference on Signals, Systems & Computers

作者： Sorell, Matthew J. Krieg, Mark Stewart, Clayton v. George Mason Univ Fairfax United States

ISBN: (纸本)0818641207

The Australian Defence Science and Technology Organization is developing a single-platform sensor fusion testbed based around an experimental X-band generic pulse Doppler radar. Initial research will examine real-time fusion of amplitude monopulse radar azimuth and elevation and video position estimates and the tracking ability of the combined sensor system. The addition of further signal processing and sensors will allow experimental verification of a variety of sensor fusion and management algorithms. Examples of preliminary data are shown and the continuing development of the test-bed and its applications are discussed.

关键词： Radar

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On-platform radar and optical track fusion

On-platform radar and optical track fusion

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Asilomar Conference on Signals, Systems & Computers

作者： M.J. Sorell M.L. Krieg C.v. Stewart Microwave Radar Division Surveillance Research Laboratory Department of Defence Defence Science and Technology Organisation Australia Center of Excellence in Command Control Communications and Intelligence School of Information Technology and Engineering George Mason University Fairfax VA USA

The Australian Defence Science and Technology Organisation is developing a single-platform sensor fusion test-bed based around an experimental X-band generic pulse Doppler radar. Initial research will examine real-time fusion of amplitude monopulse radar azimuth and elevation and video position estimates and the tracking ability of the combined sensor system. The addition of further signal processing and sensors will allow experimental verification of a variety of sensor fusion and management algorithms. Examples of preliminary data are shown and the continuing development of the test-bed and its applications are discussed.< >

关键词： Laser radar Radar tracking Doppler radar sensor fusion Testing Signal processing algorithms Optical sensors Optical signal processing Australia Optical pulses

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MODULAR SYSTEM FOR IMAGE-ANALYSIS USING A GAME-THEORETIC FRAMEWORK

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IMAGE AND vISION COMPUTING 1992年第6期10卷 431-443页

作者： BOZMA, HI DUNCAN, JS YALE UNIV DEPT DIAGNOST RADIOLDIV IMAGING SCINEW HAVENCT 06510

The design of image analysis systems aimed at recognition of multiple deformable objects require integration of a variety of modules. These systems (i) are first decomposed into a set of interdependent modules where each module is associated with a model-based objective, and (ii) are then formed by integrating these modules within a unifying framework. Previous approaches have been limited in providing a systematic and uniform treatment of the design problem and preserving the coexisting and separate nature of the modules' objectives. In Bozma1 a framework which overcomes these limitations has been formulated using game-theoretic concepts. The contribution of this paper is to present an image analysis system which is developed systematically using the game-theoretic framework, and which is aimed at recognizing multiple deformable objects. A secondary contribution is that the models used in designing the individual modules constitute extensions of earlier efforts. Our experiments with several images, including ones from the medical domain, demonstrate the power of this system in applications such as medical image analysis.

关键词： IMAGE PROCESSING SYSTEMS sensor fusion NASH EQUILIBRIUM vISION MODULES PARALLEL algorithms AND architectures RECOGNITION DEFORMABLE OBJECTS

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Multi-target tracking and data association using learning network systems: a conceptual design

Multi-target tracking and data association using learning ne...

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IEEE Conference on Control Technology and applications (CCTA)

作者： Q.M. Lam R.N. Morgan Coleman Research Corporation Fairfax VA USA

The problem of tasking sensors and tracking multiple objects using multiple sensors which are distributed both in space and on the ground is addressed for both commercial and military applications. The data association problem is considered in a broader sense in which the assignment of an asset to an object under consideration has been added as an additional function to a traditional tracking and data association system. Suggested learning network architectures and algorithms for potentially enhancing the performance of traditional techniques are discussed and conceptualized.< >

关键词： Target tracking sensor fusion Intelligent sensors Asset management Weapons Neural networks Intelligent networks Environmental management Redundancy Measurement errors

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PERCEPT - A SOPHISTICATED EXPERIMENTAL SET-UP DEDICATED TO HETEROGENEOUS sensor fusion

PERCEPT - A SOPHISTICATED EXPERIMENTAL SET-UP DEDICATED TO H...

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1991 INTERNATIONAL CONF ON INDUSTRIAL ELECTRONICS, CONTROL AND INSTRUMENTATION

作者： DESSOUDE, O OLIvIER, C ZAvIDOvIQUE, B

ISBN: (纸本)0879426888

The study of perception, an essential function for autonomous robotics, has led to new developments in the fields of modeling, stochastic data processing, and control. The authors describe a surveillance robot dedicated to heterogeneous data fusion algorithms' implementation and real-size real-time testing, which has become necessary to validate these emerging techniques in a realistic environment. This robot holds various sensors mounted on rotational units and provides a multi-degree-of-freedom command. The design includes original distributed hardware and software architectures encompassing the specific data processing, fusion, and feedback control. Modularity and a user-friendly interface allow easy design of perception control applications.

关键词： sensor data fusion

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PERCEPT: a sophisticated experimental set-up dedicated to heterogeneous sensor fusion

PERCEPT: a sophisticated experimental set-up dedicated to he...

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International Conference on Industrial Electronics, Control and Instrumentation

作者： O. Dessoude C. Olivier B. Zavidovique Laboratoire Système de Perception ETCA Arcueil France

关键词： Robot sensing systems Data processing Stochastic processes Process control Surveillance Testing Hardware Software architecture Feedback control Application software

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Hessian methods for verification of 3D model parameters from 2D image data

Hessian methods for verification of 3D model parameters from...

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sensor fusion: Spatial Reasoning and Scene Interpretation

作者： Goldberg, Robert R. Lowe, David G. Queens College FlushingNY11367 United States Univ. of British Columbia VancouverBCV6T 1W5 Canada

ISBN: (纸本)9780819400383

A unified approach to instantiating model and camera parameters in the verification process is presented. Recognition implies the generation of a hypothesis, a map between projected model data and image data. An important issue remaining is the instantiation of model and camera parameters to verify the hypothesis. This "camera pose determination" is formulated as a nonlinear least squares problem, with functions minimizing distance between the projected model and image data. This approach treats camera and model parameters the same, simplifying the camera calibration problem. An original data structure Coordinate Trees with Null Com-ponents models the objects in the image. With this calculation of analytical first and second partial derivatives (with respect to parameters of model and camera) are now made possible. The application of various numeric techniques are compared, with tables displaying convergence results for various models and parameters. Minimal information is required, including the absence of depth data. This makes the algorithms robust in noisy images as well. Extensions to vision applications with general models is outlined.

关键词： Cameras

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Signal Processing and Data fusion for Autonomous Undersea vehicles

Signal Processing and Data Fusion for Autonomous Undersea Ve...

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International Symposium on Unmanned Untethered Submersible Technology

作者： J.W. Irza M.N. Desai Draper Laboratory Inc. Cambridge MA USA

The strategic and tactical applications for autonomous submersibles place great demands on the platforms' passive sonar signal and data processing abilities. It is necessary to overcome the limited acoustic aperture and lack of human supervision by exploiting synergism between front-end signal processing functions and back-end data fusion algorithms. An Information Management System Architecture is presented which represents the relationship between the Information Extraction (signal processing and data fusion), Situation Assessment, and Mission Planner. The information extraction requirements (essentially the emulation of manned platform detection, classification, and localization) drive the design of the signal and data processing architectures. The signal processing architecture is partitioned into a generic, multifunction (e.g. sonar, comm, navigation) processor complemented by an ancillary signal processor which supports the knowledge-based signal interpretation function of information fusion.

关键词： Signal processing Remotely operated vehicles Mobile robots Data mining sensor arrays Signal processing algorithms Data processing Acoustic signal processing Sonar navigation Laboratories

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A subspace approach to determining sensor gain and phase with applications to array processing

A subspace approach to determining sensor gain and phase wit...

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Advanced algorithms and architectures for Signal Processing I 1986

作者： Paulraj, A. Shan, T.J. Reddy, v.U. Kailath, T. Information Systems Laboratory Stanford University StanfordCA94305 United States

Exact characterization of the array in terms of its geometry and the sensor gain and phase is important in beamforming and directions-of-arrival estimation problems. In practice the sensor gain and phase may not be known exactly due to drift in the sensor characteristics. We present a subspace approach which uses the received array signals to estimate the sensor gain and phase. We assume that the directions-of-arrival of some of the several sources that impinge on the array are known and show how this information can be used to determine sensor parameters. The resulting estimates can then be used to improve the robustness of array processing algorithms both for directions-of-arrival estimation and beamforming. Results of simulations carried out to verify the performance of this method are presented. © 1986 SPIE. All rights reserved.

关键词： Array processing

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Transient plasma estimation: A noise cancelling/identification approach

Transient plasma estimation: A noise cancelling/identificati...

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IEEE Conference on Decision and Control

作者： J. v. Candy T. Capser R. Kane Lawrence Livemore National Laboratory Livermore CA USA Lawrence Livermore National Laboratory Livermore CA

In this paper we discuss the application of a noise cancelling technique to extract energy storage information from sensors occurring during fusion reactor experiments on the Tandom Mirror Experiment-Upgrade (TMX-U) at the Lawrence Livermore National Laboratory (LLNL). We show how this technique can be used to decrease the uncertainty in the corresponding sensor measurements used for diagnostics in both real-time and post-experimental environments. We analyze the performance of the algorithm on the sensor data and discuss the various tradeoffs. The algorithm suggested is designed using SIG, an interactive signal processing package developed at LLNL.

关键词： Noise cancellation Signal processing algorithms Algorithm design and analysis Plasma applications Data mining Energy storage sensor fusion fusion reactors Mirrors Laboratories

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