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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41-50 订阅

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Scalable sensor management for automated fusion and tactical reconnaissance

Scalable sensor management for automated fusion and tactical...

引用

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

作者： Walls, Thomas J. Wilson, Michael L. Partridge, Darin C. Haws, Jonathan R. Jensen, Mark D. Johnson, Troy R. Petersen, Brad D. Sullivan, Stephanie W. Naval Res Lab 4555 Overlook Ave SW Washington DC 20375 USA

ISBN: (纸本)9780819495471

The capabilities of tactical intelligence, surveillance, and reconnaissance (ISR) payloads are expanding from single sensor imagers to integrated systems-of-systems architectures. Increasingly, these systems-of-systems include multiple sensing modalities that can act as force multipliers for the intelligence analyst. Currently, the separate sensing modalities operate largely independent of one another, providing a selection of operating modes but not an integrated intelligence product. We describe here a Sensor Management System (SMS) designed to provide a small, compact processing unit capable of managing multiple collaborative sensor systems on-board an aircraft. Its purpose is to increase sensor cooperation and collaboration to achieve intelligent data collection and exploitation. The SMS architecture is designed to be largely sensor and data agnostic and provide flexible networked access for both data providers and data consumers. It supports pre-planned and ad-hoc missions, with provisions for on-demand tasking and updates from users connected via data links. Management of sensors and user agents takes place over standard network protocols such that any number and combination of sensors and user agents, either on the local network or connected via data link, can register with the SMS at any time during the mission. The SMS provides control over sensor data collection to handle logging and routing of data products to subscribing user agents. It also supports the addition of algorithmic data processing agents for feature/target extraction and provides for subsequent cueing from one sensor to another. The SMS architecture was designed to scale from a small UAV carrying a limited number of payloads to an aircraft carrying a large number of payloads. The SMS system is STANAG 4575 compliant as a removable memory module (RMM) and can act as a vehicle specific module (VSM) to provide STANAG 4586 compliance (level-3 interoperability) to a non-compliant sensor system. Th

关键词： multi-INT data fusion sensing modality sensor management network sensor tasking automation algorithmic processing scalable systems-of-systems

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multisensor, multisource information fusion: architectures, algorithms, and applications 2011

Multisensor, Multisource Information Fusion: Architectures, ...

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multisensor, multisource information fusion: architectures, algorithms, and applications 2011

ISBN: (纸本)9780819486387

The proceedings contain 20 papers. The topics discussed include: image fusion for remote sensing using fast, large-scale neuroscience models;the continuum fusion theory of signal detection applied to a bi-modal fusion problem;feature aided Monte Carlo probabilistic data association filter for ballistic missile tracking;architectures, algorithms, and applications using Bayesian networks;fusion of hyperspectral and ladar data for autonomous target detection;a relaxed fusion of information from real and synthetic images to predict complex behavior;the perception problem and the impact on robotics and computer vision;a hidden Markov model for multimodal biometrics score fusion;multi sensor remote sensing information fusion for urban area classification and change detection;and fusion of chemical, biological, and meteorological observations for agent source term estimation and hazard refinement.

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Adaptive IR and VIS image fusion

Adaptive IR and VIS image fusion

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

作者： Stoklasa, B. Rehacek, J. Hradil, Z. Palacky Univ Dept Opt Olomouc 77146 Czech Republic

ISBN: (纸本)9780819490858

Adaptive image fusion system based on neural network principle was realized. It works with digitalized video sequences of visible and infrared band sensors, and is able to produce the optimal fused image for a wide range of lighting conditions through an adaptive change of a fusion algorithm. The change is driven by a change in the measured statistic of the input images. The best algorithm for a particular input is found with the help of an objective measurement of the fusion process quality.

关键词： Image fusion Adaptive fusion Neural network

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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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Computationally efficient Bayesian tracking

Computationally efficient Bayesian tracking

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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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Context based gait recognition

Context based gait recognition

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

作者： Bazazian, Shermin Gavrilova, Marina Univ Calgary Dept Comp Sci Calgary AB T2N 1N4 Canada

ISBN: (纸本)9780819490858

Gait recognition has recently become a popular topic in the field of biometrics. However, the main hurdle is the insufficient recognition rate in the presence of low quality samples. The main focus of this paper is to investigate how the performance of a gait recognition system can be improved using additional information about behavioral patterns of users and the context in which samples have been taken. The obtained results show combining the context information with biometric data improves the performance of the system at a very low cost. The amount of improvement depends on the distinctiveness of the behavioral patterns and the quality of the gait samples. Using the appropriate distinctive behavioral models it is possible to achieve a 100% recognition rate.

关键词： Biometrics gait recognition information fusion context-based model behavioral patterns

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Use of sonification in the detection of anomalous events

Use of sonification in the detection of anomalous events

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

作者： Ballora, Mark Cole, Robert J. Kruesi, Heidi Greene, Herbert Mohanan, Ganesh Hall, David L. Penn State Univ Coll Informat Sci & Technol University Pk PA 16802 USA Raytheon Corp State Coll PA 16803 USA

ISBN: (纸本)9780819490858

In this paper, we describe the construction of a soundtrack that fuses stock market data with information taken from tweets. This soundtrack, or auditory display, presents the numerical and text data in such a way that anomalous events may be readily detected, even by untrained listeners. The soundtrack generation is flexible, allowing an individual listener to create a unique audio mix from the available information sources. Properly constructed, the display exploits the auditory system's sensitivities to periodicities, to dynamic changes, and to patterns. This type of display could be valuable in environments that demand high levels of situational awareness based on multiple sources of incoming information.

关键词： Sonification auditory display SuperCollider Twitter stock prices data fusion situational awareness

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Leveraging Provenance to Improve Data fusion in Sensor Networks

Leveraging Provenance to Improve Data Fusion in Sensor Netwo...

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

作者： Dogan, Gulustan Seo, Eunsoo Brown, Theodore Abdelzaher, Tarek F. CUNY New York NY 10021 USA Univ Illinois Urbana IL 61801 USA

ISBN: (纸本)9780819490858

Provenance is the information about the origin of the data inputs and the data manipulations to a obtain a final result. With the huge amount of information input and potential processing available in sensor networks, provenance is crucial for understanding the creation, manipulation and quality of data and processes. Thus maintaining provenance in a sensor network has substantial advantages. In our paper, we will concentrate on showing how provenance improves the outcome of a multi-modal sensor network with fusion. To make the ideas more concrete and to show what maintaining provenance provides, we will use a sensor network composed of binary proximity sensors and cameras to monitor intrusions as an example. Provenance provides improvements in many aspects such as sensing energy consumption, network lifetime, result accuracy, node failure rate. We will illustrate the improvements in accuracy of the position of the intruder in a target localization network by simulations.

关键词： Provenance Data fusion Sensor Networks

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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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Practical Considerations in Bayesian fusion of Point Sensors

Practical Considerations in Bayesian Fusion of Point Sensors

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

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

ISBN: (纸本)9780819490858

Sensor data fusion is and has been a topic of considerable research, but rigorous and quantitative understanding of the benefits of fusing specific types of sensor data remains elusive. Often, sensor fusion is performed on an ad hoc basis with the assumption that overall detection capabilities will improve, only to discover later, after expensive and time consuming laboratory and/or field testing that little advantage was gained. The work presented here will discuss these issues with theoretical and practical considerations in the context of fusing chemical sensors with binary outputs. Results are given for the potential performance gains one could expect with such systems, as well as the practical difficulties involved in implementing an optimal Bayesian fusion strategy with realistic scenarios. Finally, a discussion of the biases that inaccurate statistical estimates introduce into the results and their consequences is presented.

关键词： sensor fusion Bayes decision theory

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