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

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Bio-fusion for intelligent system control

Bio-fusion for intelligent system control

引用

Proceedings of the 1999 sensor fusion: architectures, algorithms, and applications III

作者： Norseen, John D. Kropotov, Juri D. Kremen, Inna Z. Lockheed Martin Aeronautical Co

We present a realistic neural network - the canonical cortical module - built on basic principles of cortical organization. These principles are: opponent cells principle, assembly principle, canonical cortical circuit principle and modular principle. When applied to visual images, the network explains orientational and spatial frequency filtering functions of neurons in the striate cortex. Two patterns of joint distribution of opponent cells in the inhibitory cortical layer are presented: pinwheel and circular. These two patterns provide two Gestalt descriptions of local (within the frames of one module) visual image: circle-ness and cross-ness. These modules were shown to have a power for shape detection and texture discrimination. They also provide an enhancement of signal-to-noise ratio of input images. Being modality independent, the canonical cortical module seems to be good tool for bio-fusion for intelligent system control.

关键词： Neural networks

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Proceedings of SPIE: sensor fusion: architectures, algorithms, and applications II

Proceedings of SPIE: Sensor Fusion: Architectures, Algorithm...

引用

sensor fusion: architectures, algorithms and applications II

This volume 3376 of the conference proceedings contains 22 papers. Topics discussed include sensor fusion, sensor fusion architectures, feature and decision level fusion, data and image level fusion and sensor fusion ... 详细信息

关键词： sensor data fusion

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A maximum likelihood approach for multisensor data fusion applications

A maximum likelihood approach for multisensor data fusion ap...

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Conference on sensor fusion - architectures, algorithms, and applications II

作者： Zhou, YF Leung, H Telexis Corp Canada Ottawa ON K1V 7P2 Canada

ISBN: (纸本)0819428256

In this paper, we proposed a maximum likelihood fusion approach for multisensor fusion applications. The proposed approach was based on a parametric modeling of the noise covariance and formulated in the transformed noise subspace. It could solve the fusion problems when the sensor noises are correlated and the scaling coefficients unknown. The approach could also deal with nonstationary signals. We showed that in the optimization process, the computation of the noise parameters and the scaling coefficients were separable leading to a reduced optimization dimensionality and computational complexity. Computer simulations were used to demonstrate the effectiveness of the proposed fusion approach.

关键词： maximum likelihood minimum variance least squares data fusion multisensor tracking nonstationarity unknown noise sensory information statistical consistency

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Distributed event driven architectures for evolutionary sensor fusion

Distributed event driven architectures for evolutionary sens...

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Conference on sensor fusion - architectures, algorithms, and applications II

作者： Lake, RT Dynam Control Syst Inc Delta BC Canada

ISBN: (纸本)0819428256

The next decade will require the development of complex sensor systems that integrate data from a large number of sensor elements. Such systems will play important roles in a wide variety of industrial and defense systems, as the fusion of multiple sources of information is crucial to sensor operation in noisy environments, and in complex decision making. The arrival of ubiquitous processing elements is one requirement for the development of such systems;however, the ability to connect and integrate these elements at the logical level is the more limiting aspect of their development. Furthermore, it is unlikely that such systems can be developed in a single linear process. It is much more probable that such systems will need to be evolved over time, perhaps a substantial period of time, and as result the ability to logically interconnect heterogeneous elements in an evolutionary manner will be of great importance. This paper outlines some approaches to this problem based on the distributed object-computing model as introduced in the OMG CORBA. It is our belief that this technology is maturing to the point that it could form the foundations for a sensor architecture that would support the evolutionary development of complex sensor networks.

关键词： distributed objects sensor networks embedded CORBA event-driven evolution

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fusion of LWIR sensor data by Bayesian methods

Fusion of LWIR sensor data by Bayesian methods

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Conference on sensor fusion - architectures, algorithms, and applications II

作者： Inguva, R Garrison, G EW Enterprises Inc Dba Sci & Technol Consultants Huntsville AL 35805 USA

ISBN: (纸本)0819428256

Using Bayesian statistical methods a formulation is setup for fusing multi band data from LWIR sensors. This formulation is illustrated with applications to synthetic data consisting of 100 signatures in the wavelength bands 6-10 mu m, 11-16 mu m and 17-21 mu m. Following the works of Jaynes, and Bretthorst, a Bayesian formulation is given for detrending the time seriesdata for the emissive area, followed by estimations of frequencies and their amplitudes. This formulation is illustrated with analysis of the synthetic data.

关键词： sensors Data modeling sensor fusion Long wavelength infrared Data fusion Infrared sensors Statistical analysis Data analysis Signal to noise ratio Statistical methods

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Surface texture measurement by combining signals from two sensing elements of a piezoelectric tactile sensor

Surface texture measurement by combining signals from two se...

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Conference on sensor fusion - architectures, algorithms, and applications II

作者： Dargahi, J Payandeh, S Simon Fraser Univ Sch Engn Sci Burnaby BC V5A 1S6 Canada

ISBN: (纸本)0819428256

In this paper we report on the design and testing of a prototype surface texture tactile sensor. The sensor can measure both compliance and surface roughness. The design of the sensor is based on the psychophysiological perception of surface texture by the human hand. The sensor essentially consists of a rigid cylinder surrounded by a compliant cylinder. The deformation of the compliant object from rigid to compliant cylinder is used for measuring the compliance of the contact object and variation of the compliant cylinder over a surface profile with reference to the rigid cylinder is used to measurement surface roughness. Two 25 mu m thick polyvinylidene fluride(PvDF) films are used as a tranducer in the tactile sensor system. The sensor in miniaturized form can be used in a laparoscopic grasper for minimally invasive surgery. The theoretical analysis is made and compared with experimental values. The advantages and limitations of the sensor are also discussed.

关键词： piezoelectric robotic tactile sensor laparoscope polyvinylinede fluoride minimally invasive surgery

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Atmospheric attenuation reduction through multi-sensor fusion

Atmospheric attenuation reduction through multi-sensor fusio...

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Conference on sensor fusion - architectures, algorithms, and applications II

作者： Grewe, L Brooks, RR Calif State Univ Monterey Bay Inst Commun Sci & Technol Seaside CA 93955 USA

ISBN: (纸本)0819428256

The visualization of a scene in murky atmospheric conditions is improved by fusing multiple images. A key feature of this system is the use of the wavelet domain in the fusion process. Many possible fusion formulas in this domain exist and to find the "best" formula, we formulate an optimization problem. We assume a set of training data consisting of a sequence of images with the presence of atmospheric effects and the corresponding image with no atmospheric effects present (ground truth). Next, we perform a search over the parameter space of our "generic fusion formula" attempting to minimize the error between the original ground truth image and the image created by fusing the noisy data. Using the resulting "best" fusion formula, we have created a system for pixel level fusion. Experimental results are shown and discussed. Possible applications of this system include processing of outdoor security system data, filters for outdoor vehicle image data and use in heads-up displays.

关键词： sensor fusion wavelets tabu search fog atmospheric attenuation

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The data fusion system architecture for unattended ground sensors

The data fusion system architecture for unattended ground se...

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Conference on sensor fusion - architectures, algorithms, and applications II

作者： Zhang, JL Zhao, YM 54 Res Inst Elect Ind Shijiazhuang 050081 Hebei Province Peoples R China

ISBN: (纸本)0819428256

In this paper,it develops an artificial intelligence method that uses object-oriented approach to construct the blackboard of data fusion for unattented ground sensors including geophone sensor, acoustic sensor, pressure sensor, infra-red sensor, magnetic sensor, image sensor etc.. It can perform detection, correlation, association and estimation to the sensors' output and obtain the exact recognition of targets, the number of target groups and the estimation for both the states of targets and the situation and threat. The whole blackboard is divided into three regions, including: single sensor fusion region, multisensor fusion region and threat estimation region. The three regions are expressed in classes. Knowledges of each domain in three regions are also expressed by classes and encapsulated in class hierarchy structure. Thus the whole blackboard can be viewed as object forest, the distributed knowledge inference can be realized by object reference. Both statistics and hierarchy inference approaches are used in the blackboard structure so as to efficiently perform fusion and inference. Furthermore,The method is realized in C++ language and demonstrated by the simulation of sensor alarming datum under battlefield environment.

关键词： sensor data fusion data association target recognition state estimation

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Information fusion for onboard and offboard avionics

Information fusion for onboard and offboard avionics

引用

Conference on sensor fusion - architectures, algorithms, and applications II

作者： Kurien, T Chao, A Gully, SW Wood, A ALPHATECH Inc Burlington MA 01803 USA

ISBN: (纸本)0819428256

This paper defines and demonstrates an all-source information fusion system for combining onboard and offboard data and maintain continuous track on targets. We provide an architecture containing an offboard data processor to extract data relevant to the attack aircraft mission, and a set of fusion modules for recursively associating sensor reports, tracking targets, and classifying targets. These modules are derived from a well-posed mathematical formulation which enables us to define precise interfaces among the fusion modules. This approach provides three benefits. First, it enables us to construct a fusion algorithm with close-to-optimal target tracking and classification performance. Second, it allows us to study new fusion algorithms by implementing alternate algorithms for each module. Third, it allows us to process data from any combination of sensors making the architecture applicable to a variety of attack aircraft and missions. We show that the proposed system can increase a pilot's situational awareness by providing him with a clearer battlefield picture consistent with attack aircraft mission objectives. Results for a simple but realistic air-to-ground scenario simulation demonstrate the benefits of fusing data from offboard and onboard sensors.

关键词： all source fusion Multiple Hypothesis Tracking (MHT) image gee-registration continuous tracking onboard-offboard fusion Kalman filtering

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Intelligent processing techniques for sensor fusion

Intelligent processing techniques for sensor fusion

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Conference on sensor fusion - architectures, algorithms, and applications II

作者： Byrd, K Smith, B Allen, D Morris, N Bjork, C Deal-Giblin, K Nichols Res Corp Huntsville AL 35815 USA

ISBN: (纸本)0819428256

Intelligent processing techniques which can effectively combine sensor data from disparate sensors by selecting and using only the most beneficial individual sensor data is a critical element of exoatmospheric interceptor systems. A major goal of these algorithms is to provide robust discrimination against stressing threats in poor a priori conditions, and to incorporate adaptive approaches in off-nominal conditions. This paper summarizes the intelligent processing algorithms being developed, implemented and tested to intelligently fuse data from passive infrared and active LADAR sensors at the measurement, feature and decision level. These intelligent algorithms employ dynamic selection of individual sensor features and the weighting of multiple classifier decisions to optimize performance in good a priori conditions and robustness in poor a priori conditions. Features can be dynamically selected based on an estimate of the feature confidence which is determined from feature quality and weighting terms derived from the quality of sensor data and expected phenomenology. Multiple classifiers are employed which use both fuzzy logic and knowledge based approaches to fuse the sensor data and to provide a target lethality estimate. Target designation decisions can be made by fusing weighted individual classifier decisions whose output contains an estimate of the confidence of the data and the discrimination decisions. The confidence in the data and decisions can be used in real time to dynamically select different sensor feature data or to request additional sensor data on specific objects that have not been confidently identified as being lethal or non-lethal, The algorithms are implemented in C within a graphic user interface framework. Dynamic memory allocation and the sequential implementation of the feature algorithms are employed. The baseline set of fused sensor discrimination algorithms with intelligent processing are described in this paper. Example results from

关键词： sensor fusion intelligent processing discrimination feature extraction infrared laser radar fuzzy logic

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