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

共 329 条记录，以下是261-270 订阅

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Adaptive resource allocation architecture applied to line tracking

Adaptive resource allocation architecture applied to line tr...

引用

sensor fusion: architectures, algorithms, and applications iv

作者： Owen, Mark W. Pace, Donald W. SPAWAR Systems Cent San Diego United States

Current line tracker approaches only address resources in the form of memory and processing time requirements. These architecture approaches limit the amount of complex algorithmic processing a line tracker may perform to provide the correct solution. Past approaches include single-hypothesis Kalman filter-based tracking and a-b tracking. Both approaches assume a real time recursive data processing requirement, and are fairly memory intensive. These architectures are not expandable. Recent research has demonstrated the benefits of a multiple hypothesis, multiple model sonar line tracking solution, achieved at significant computational cost. We have developed an adaptive architecture that trades computational resources for algorithm complexity based on environmental conditions. A Fuzzy Logic Rule-Based approach is applied to adaptively assign algorithmic resources to meet system requirements. The resources allocated by the Fuzzy Logic algorithm include (a) the number of hypotheses permitted (yielding multi-hypothesis and single-hypothesis modes), (b) the number of signal models to use (yielding an interacting multiple model capability), (c) a new track likelihood for hypothesis generation, (d) track attribute evaluator activation (for signal to noise ratio, frequency bandwidth, and others), and (e) adaptive cluster threshold control. Algorithm allocation is driven by a comparison of current throughput rates to a desired real time rate. The Fuzzy Logic Controlled (FLC) line tracker, a single hypothesis line tracker, and a multiple hypothesis line tracker are compared on real sonar data. System resource usage results demonstrate the utility of the FLC line tracker.

关键词： sensor data fusion

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Multifeature fusion using Pulse Coupled Neural Networks

Multifeature fusion using Pulse Coupled Neural Networks

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

作者： Inguva, R Johnson, JL Schamschula, MP East West Enterprises Huntsville AL 35805 USA

We propose an unbiased multifeature fusion Pulse Coupled Neural Network (PCNN) algorithm. The method shares linking between several PCNNs running in parallel. We illustrate the PCNN fusion technique with a clean and n... 详细信息

ISBN: (纸本)0819431931

关键词： Image fusion Neural networks Image processing Modulators Convolution Evolutionary algorithms Feature extraction Modulation Pulse generators Transform theory

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Feature and data level fusion of infrared and visual images

Feature and data level fusion of infrared and visual images

引用

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

作者： Ulug, ME McCullough, CL Intelligent Neurons (United States) U.S. Army Space and Missile Defense Command (United States)

ISBN: (纸本)0819431931

In both military and civilian applications, increasing interest is being shown in fusing infrared and vision images for improved situational awareness. In previous work, the authors have developed a fusion method for combining the thermal and vision images into a single image emphasizing the most salient features of the surrounding environment. This approach is based on the assumption that although the thermal and vision data are uncorrelated, they are complementary and can be fused using a suitable disjunctive function. This paper, as a continuation of that work, will describe the development of an information based real-time data level fusion method. In addition, applicability of the algorithms thar we developed for data level fusion to feature level techniques (e.g., shapes, lines, and edges) will be investigated.

关键词： data level fusion sensor fusion infrared

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ITS detector testbed system design and implementation

ITS detector testbed system design and implementation

引用

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

作者： Chang, ECP Texas A&M Univ Texas Transportat Inst College Stn TX 77843 USA

ISBN: (纸本)0819431931

Intelligent Transportation Systems (ITS), implemented all over the world, has become an important and practical traffic management technique. Among all ITS subsystems, the detection system plays an integral element that provides all the necessary environmental information to the ITS infrastructure. This paper describes the ITS Detector testbed design, currently being implemented with these potential ITS applications on the State Highway 6 in College Station, Texas to provide a multi-sensor, multi-source fusion environment that utilizes both multi-sensor and distributed sensor system testing environment.

关键词： Intelligent Transportation Systems real-time vehicular detection detector evaluation multi-sensor multi-source fusion

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Virtual Associative Networks: A new paradigm for sensor fusion

Virtual Associative Networks: A new paradigm for Sensor Fusi...

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

作者： Malhotra, RP Yufik, YM USAF Res Lab Sensors Directorate Wright Patterson AFB OH 45433 USA

ISBN: (纸本)0819431931

We discuss Virtual Associative Networks (VANs) emd their relevance for addressing computationally prohibitive sensor fusion problems (with results in Dynamic sensor Management). To our knowledge, this discussion of VAN technology for sensor fusion is unique and our current result involving VANs for Dynamic sensor Management is the first of its kind. The following provides methodology, results, and extensions.

关键词： neurocomputation cognitive science sensor fusion sensor Management neural networks

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Data level fusion using common symmetry set

Data level fusion using common symmetry set

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

作者： Tari, S Middle E Tech Univ Dept Engn Sci TR-06531 Ankara Turkey

ISBN: (纸本)0819431931

Availability of different imaging modalities requires techniques to process and combine information from different images of the same phenomena. We present a symmetry based approach for combining information from multiple images. fusion is performed at data level. Actual object boundaries and shape descriptors are recovered directly from raw sensor output(s). Method is applicable to arbitrary number of images in arbitrary dimension.

关键词： Image fusion Data fusion Image segmentation sensors Image processing Information fusion Data processing Shape analysis 3D image processing Image analysis

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Registration of scenes for the detection of concealed weapons

Registration of scenes for the detection of concealed weapon...

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

作者： Slamani, MA Varshney, PK Alford, MG Ferris, D Stiefvater Consultants Inc Marcy NY 13403 USA

ISBN: (纸本)0819431931

A number of sensors are being developed for the Concealed Weapon Detection (CWD), and use of the appropriate sensor or combination of sensors will be: very important to the success of such technologies. Assuming that two identical sensors are used to collect data on a target from different angular views, this paper addresses the problem of registration associated with the collected scenes. Theory and application to real data are presented.

关键词： image registration Concealed Weapons Detection A'SCAPE enhancement fusion

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sensor fusion cognition using belief filtering for tracking and identification

Sensor fusion cognition using belief filtering for tracking ...

引用

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

作者： Blasch, E Hong, L SNAT AFRL Wright Patterson AFB OH 45433 USA

ISBN: (纸本)0819431931

Humans exhibit remarkable abilities to estimate, filter, predict, and fuse information in target tracking tasks. To improve track quality, we extend previous tracking approaches by investigating human cognitive-level fusion for constraining the set of plausible targets where the number of targets is not known a priori. The target track algorithm predicts a belief in the position and pose for a set of targets and an automatic target recognition algorithm uses the pose estimate to calculate an accumulated target-belief classification confidence measure. The human integrates the target track information and classification confidence measures to determine the number and identification of targets. This paper implements the cognitive belief filtering approach for sensor fusion and resolves target identify through a set-theory approach by determining a plausible set of targets being tracked.

关键词： sensor fusion target recognition classification & identification tracking cognitive belief filter HRR

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Information fusion benefits delineation in off-nominal scenarios

Information fusion benefits delineation in off-nominal scena...

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

作者： Dasarathy, BV Dynet Inc Huntsville AL 35814 USA

ISBN: (纸本)0819431931

The potential problem of deterioration In recognition system performance because of imprecise, incomplete, or imperfect training is a serious challenge inherent to most real-world applications. This problem is often referred to in certain applications as degradation of performance under off-nominal conditions. This study presents the results of an investigation carried out to illustrate the scope and benefits of information fusion in such off-nominal scenarios. The research covers features in - decision out (FEI-DEO) fusion as well as decisions in - decision out (DEI-DEO) fusion. The latter spans across both information sources (sensors) and multiple processing tools (classifiers). The investigation delineates the corresponding fusion benefit domains using as an example, real-world data from an audio-visual system for the recognition of French oral vowels embedded in various levels of acoustical noise.

关键词： information fusion off-nominal scenarios audio-visual fusion vowel recognition

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Cross band pixel selection in multi-resolution image fusion

Cross band pixel selection in multi-resolution image fusion

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

作者： Petrovic, V Xydeas, C Univ Manchester Manchester Sch Engn MARC Manchester M13 9PL Lancs England

ISBN: (纸本)0819431931

The work described in this paper focuses on cross band pixel select:ion as applied to pixel level multi-resolution image fusion. In addition, multi-resolution analysis and synthesis is realised via. QMF sub-band decomposition techniques. Thus cross-band pixel selection is-considered with the aim of reducing the contrast and structural distortion image artefacts produced by existing wavelet based, pixel level, image fusion schemes. Preliminary subjective image fusion results demonstrate clearly the advantage which the proposed cross-band selection technique offers, when compared to conventional area based pixel selection.

关键词： image fusion multi-resolution image processing sensor fusion

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