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检索条件"任意字段=Conference on Sensor Fusion - Architectures, Algorithms, and Applications"

共 2091 条记录，以下是171-180 订阅

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An unified approach to the fusion of imperfect data?

An unified approach to the fusion of imperfect data?

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conference on sensor fusion - architectures, algorithms, and applications VI

作者： Florea, MC Jousselme, AL Grenier, D Bossé, É Univ Laval Dept Genie Elect LRTS Ste Foy PQ G1K 7P4 Canada

ISBN: (纸本)0819444812

For several years, researchers have explored the unification of the theories enabling the fusion of imperfect data and have finally considered two frameworks: the random sets and the conditional events algebra. Traditionally, the information is modeled and fused in one of the known theories: bayesian, fuzzy sets, possibilistic, evidential, or rough sets... Previous work has shown what kind of imperfect data these theories can best deal with. So, depending on the quality of the available information (uncertain, vague, imprecise,...), one particular theory seems to be the preferred choice for fusion. However, in a typical application, the variety of sources provides different kinds of imperfect data. The classical approach is then to model and fuse the incoming data in a single theory being previously chosen. In this paper, we first introduce the various kinds of imperfect data and then the theories that can be used to cope with the imperfection. We also present the existing relationships between them and detail the most important properties for each theory. We finally propose the random sets theory as a possible framework for unification, and thus show how the individual theories can fit in this framework.

关键词： imperfect data data fusion random sets

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A Copula Based Semi-parametric Approach for Footstep Detection Using Seismic sensor Networks

A Copula Based Semi-parametric Approach for Footstep Detecti...

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2010

作者： Sundaresan, Ashok Subramanian, Arun Varshney, Pramod K. Damarla, Thyagaraju Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA Army Res Labs Adelphi MD 20783 USA

ISBN: (纸本)9780819481740

In this paper, we consider the problem of detecting the presence of footsteps using signal measurements from a network of seismic sensors. Since the sensors are closely spaced, they result in correlated measurements. A novel method for detection that exploits the spatial dependence of sensor measurements using copula functions is proposed. An approach for selecting the copula function that is most suited for modeling the spatial dependence of sensor observations is also provided. The performance of the proposed approach is illustrated using real footstep signals collected using an experimental test-bed consisting of seismic sensors.

关键词： sensors Seismic sensors Data modeling sensor networks Statistical modeling Signal detection Performance modeling Analytical research Statistical analysis Surveillance

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Interferometric side scan sonar and data fusion

Interferometric side scan sonar and data fusion

引用

conference on sensor fusion: architectures, algorithms, and applications IV

作者： Sintes, C Solaiman, B GESMA F-29240 Brest France

ISBN: (纸本)0819436771

This paper concerns the possibilities of sea bottom imaging and altitude determining of each imaged point. The performances of new side scan sonars which are able to image the sea bottom with a high definition and are able to evaluate the relief with the same definition derived from an interferometric multisensor system. The drawbacks concern the precision of the numerical altitude model. One way to improve the measurements precision is to merge all the information issued from the multi-sensors system. This leads to increase the Signal to Noise Ratio (SNR) and the robustness of the used method. The aim of this paper is to clearly demonstrate the ability to derive benefits of all information issued from the three arrays side scan sonar by merging : a. the three phase signals obtained at the output of the sensors, b. this same set of data after the application of different processing methods, and c, the a priori relief contextual information. The key idea the proposed fusion technique is to exploit the strength and the weaknesses of each data element in the fusion of process so that the global SNR will be improved as well as the robustness to hostile noisy environments.

关键词： Interferometry Image fusion sensors Electronic filtering Data fusion Image filtering Signal to noise ratio Gaussian filters Signal processing Wavefronts

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Proceedings of SPIE: Multisensor, Multisource Information fusion: architectures, algorithms, and applications 2005

Proceedings of SPIE: Multisensor, Multisource Information Fu...

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Multisensor, Multisource Information fusion: Architecture, algorithms, and applications 2005

The proceedings contain 35 papers from the conference on Multisensor, Multisource Information fusion: architectures, algorithms, and applications 2005. Topics discussed include: reduced data projection slice image fusion using principal component analysis;real-time implementation of image alignment and fusion;image fusion with the hybrid evolutionary algorithm and response analysis;a perceptual quality metric for image fusion based on regional information;multispectral sensor fusion using the projection-slice theorem;a situation awareness model applied to multiple domains;hybrid framework for fusion 2+ in multi-multi air engagement;and product-based multiresolution image fusion.

关键词： sensor data fusion

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In-Drilling Alignment Scheme for Borehole Assembly Trajectory Tracking over a Wireless Ad hoc Network

In-Drilling Alignment Scheme for Borehole Assembly Trajector...

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms, and applications

作者： Odei-Lartey, E. Hartmann, K. Univ Siegen ZESS Zentrum Sensorsyst Paul Bonatz Str 9-11 D-57076 Siegen Germany

ISBN: (纸本)9781510601130

This paper describes the feasibility and implementation of an In-drilling alignment method for an inertia navigation system based measurement while drilling system as applied to the vertical drilling process, where there is seldom direct access to a reference measurement due the communication network architecture and telemetry framework constraints. It involves the sequential measurement update of multiple nodes by the propagation of the reference measurement sequentially over nodes, each of which has an integrated inertia measurement unit sensor and runs the extended Kalman filter based signal processing unit, until the final measurement update of the main sensor node embedded in the borehole assembly is done. This is done particularly to keep track of the yaw angle position during the drilling process.

关键词： In-drilling alignment extended Kalman filter inertial navigation system vertical drilling measurement update sensor node low-cost IMU gyroscope

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Multirobot autonomous landmine detection using distributed multisensor information aggregation

Multirobot autonomous landmine detection using distributed m...

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conference on Multisensor, Multisource Information fusion - architectures, algorithms, and applications

作者： Jumadinova, Janyl Dasgupta, Prithviraj Univ Nebraska Omaha NE 68182 USA

ISBN: (纸本)9780819490858

We consider the problem of distributed sensor information fusion by multiple autonomous robots within the context of landmine detection. We assume that different landmines can be composed of different types of material and robots are equipped with different types of sensors, while each robot has only one type of landmine detection sensor on it. We introduce a novel technique that uses a market-based information aggregation mechanism called a prediction market. Each robot is provided with a software agent that uses sensory input of the robot and performs calculations of the prediction market technique. The result of the agent's calculations is a 'belief' representing the confidence of the agent in identifying the object as a landmine. The beliefs from different robots are aggregated by the market mechanism and passed on to a decision maker agent. The decision maker agent uses this aggregate belief information about a potential landmine and makes decisions about which other robots should be deployed to its location, so that the landmine can be confirmed rapidly and accurately. Our experimental results show that, for identical data distributions and settings, using our prediction market-based information aggregation technique increases the accuracy of object classification favorably as compared to two other commonly used techniques.

关键词： Prediction market information fusion multi-sensor aggregation landmine detection

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fusion rule estimation using vector space methods

Fusion rule estimation using vector space methods

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conference on sensor fusion - architectures, algorithms, and applications

作者： Rao, NSV Oak Ridge National Lab. (United States)

ISBN: (纸本)081942482X

In a system of N sensors, the sensor S-j, j = 1,2...,N, outputs Y-(j) is an element of R, according to an unknown probability distribution P-Y(j/X);corresponding to input X is an element of [0.1]. A training n-sample (X-1, X-1), (X-2, Y-2), ...((X)n, Y-n) is given where Y-i = (Y-i((1)), Y-i((2)),...,Y-i((N))) such that Y-i((j)) is the output of S-j in response to input X-i. The problem is to estimate a fusion rule f: R-N proves [0.1], based on the sample, such that the expected square error is minimized over a family of function F that constitute a vector space. The function f* that minimizes the expected error cannot be computed since the underlying densities are unknown, and only an approximation (f) over cap to f* is feasible. We estimate the sample size sufficient to ensure that f provides a close approximation to f* with a high probability. The advantage of vector space methods are two-fold: (a) the sample size estimate is a simple function of the dimensionality of f and (b) the estimate (f) over cap can be easily computed by well-known least square methods in polynomial time. The results are applicable to the classical potential function methods and also (to a recently proposed) special class of sigmoidal feedforward neural networks.

关键词： sensor fusion fusion rule estimation empirical estimation vector space methods

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Performance limits for multi-platform scene-referenced navigation systems.

Performance limits for multi-platform scene-referenced navig...

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conference on sensor fusion - architectures, algorithms, and applications V

作者： Ralph, JF Januarius, EM Smith, MI Edwards, KL Bernhardt, M Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ Merseyside England

ISBN: (纸本)0819440809

The accuracy of aircraft/weapon navigation systems has improved dramatically since the introduction of global positioning systems and terrain-referenced navigation systems into integrated navigation suites. Future improvements, in terms of reliability and accuracy, could arise from the inclusion of navigation systems based on the correlation of known ground features with imagery from a visual band or infrared sensor, often called scene matching and area correlation or scene-referenced navigation. This paper considers the use of multi-platform fusion techniques to improve on the performance of individual scene-referenced navigation systems. Consideration is also given to the potential benefits of multi-platform fusion for scene-referenced object localisation algorithms that could be used in association with infrared targeting aids.

关键词： visual navigation sensor fusion distributed sensor systems object localization

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sensor fusion with application to Electronic Warfare

Sensor fusion with application to Electronic Warfare

引用

conference on sensor fusion - architectures, algorithms, and applications III

作者： Zanzalari, RM Van Alstine, E Night Vis & Elect Sensors Directorate AMSEL RD NVS CCD Ft Monmouth NJ 07703 USA

ISBN: (纸本)0819431931

The Night Vision and Electronic sensors Directorate, Survivability/Camouflage, Concealment and Deception Division mission is to provide affordable aircraft and ground electronic sensors/systems and signature management technologies which enhance survivability and lethality of U.S. and International Forces. Since 1992, efforts have been under tah-en in the area of Situational Awareness and Dominant Battlespace Knowledge. These include the Radar Deception and Jamming Advanced Technology Demonstration (ATD), Survivability and Targeting System Integration, Integrated Situation Awareness and Targeting ATD, Combat Identification, Ground Vehicle Situational Awareness, and Combined Electronic Intelligence (ELINT) Target Correlation. This paper will address the Situational Awareness process as it relates to the integration of Electronic Warfare (EW) with targeting and intelligence and information warfare systems. Discussion will be presented on the sensor fusion, Situation Assessment and Response Management Strategies. sensor fusion includes the association, correlation, and combination of data and information from single and multiple sources to achieve refined position and identity estimates, and complete and timely assessments of situations and threats as well as their significance. Situation Assessment includes the process of interpreting and expressing the environment based on situation abstract products and information fi om technical and doctrinal data bases. Finally, Response Management provides the centralized, adaptable control of all renewable and expendable countermeasure assets resulting in optimization of the response to the threat environment.

关键词： Electronic Warfare sensors sensor data fusion Situational Awareness situation assessment Response Management association and correlation

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Wireless sensors information fusion for structural health monitoring

Wireless sensors information fusion for structural health mo...

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2003

作者： Ou, JP Li, HW Harbin Inst Technol Sch Civil Engn Harbin 150090 Peoples R China

ISBN: (纸本)0819449598

The process of implementing a damage detection strategy for engineering systems is often referred to as structural health monitoring (SHM). And Structural Health Monitoring is very important for large structures like suspension- and cable-stayed bridges, towers, offshore platforms and so on. Some advance technologies for infrastructure health monitoring have been caused much more attentions, in which the wireless sensor network (WSN) is recently received special interests. The WSN would have lower capital and installation costs as well as ensure more reliability in the communication of sensor measurements. However, in the context of untethered nodes, the finite energy budget is a primary design constraint. Therefore, one wants to process data as much as possible inside the network to reduce the number of bits transmitted, particularly over longer distances. In this, paper, a WSN is proposed for health monitoring of the offshore platform, and a laboratory prototype was designed and developed to demonstrate the feasibility and validity of the proposed WSN. In the laboratory prototype, wireless sensor nodes were deployed on a model of offshore platform, a Wireless sensor Local Area Network (WSLAN) transfers the simulated data among personal computer and microsensor nodes peripherals without cables. To minimize the energy consumption, algorithms for fusing the acceleration, temp and magnetic sensors on a single node are being developed. And based on fusing the data from local nodes, the current state of structure health was determined. In our deployment, we using UC Berkeley motes as the wireless sensor nodes to examine many of the issues relating to their usage and our information fusion algorithm.

关键词： Structural Health Monitoring (SHM) wireless sensors wreless sensor networks information fusion

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