检索结果-内蒙古大学图书馆

Neuro-dynamic programming for adaptive fusion complexity control

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 398-409页

作者： Ross, Kenneth N. Chaney, Ronald D. ALPHATECH Inc Burlington United States

The prodigious amount of information provided by surveillance systems and other information sources has created unprecedented opportunities for achieving situation awareness. Because the mission's and user's needs are constantly evolving, fusion control strategies must adapt to these changing requirements. However, the optimal control problem with the desired adaptive control capabilities is enormously complex. Therefore, we solve the adaptive fusion control problem approximately using a methodology called Neuro-Dynamic Programming (NDP) that combines elements of dynamic programming, simulation-based reinforcement learning, and statistical inference techniques. This work demonstrates the promise of using NDP for adaptive fusion control by using it to allocate computational resources to Bayesian belief networks that use a variety of data types (e.g., SAR, MTI, ELINT, and terrain databases) to track and identify clusters of vehicles. We have significantly extended previous work by using NDP to adapt the fusion process itself in addition to deciding which clusters should get their inference updated. fusion within the Bayesian networks was adapted by using NDP to select the subset of available data to be used when updating the inference. We also extended previous work by using a dynamic scenario with moving vehicles for training and testing models.

关键词： sensor data fusion

来源：评论

学校读者我要写书评

暂无评论

Revisions to the JDL data fusion model

Revisions to the JDL data fusion model

引用

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

作者： Steinberg, AN Bowman, CL White, FE ERIM Int Inc Arlington VA 22209 USA

ISBN: (纸本)0819431931

The Data fusion Model maintained by the Joint Directors of Laboratories (JDL) Data fusion Group is the most widely-used method for categorizing data fusion-related functions. This paper discusses the current effort to revise and expand this model to facilitate the cost-effective development, acquisition, integration and operation of multi-sensor/multi-source systems. Data fusion involves combining information - in the broadest sense - to estimate or predict the state of some aspect of the universe. These may be represented in terms of attributive and relational states. If the job is to estimate the state of a people (or any other sentient beings), it can be useful to include consideration of informational and perceptual stares in addition to the physical state. Developing cost-effective multi-source information systems requires a method for specifying data fusion processing and control functions, interfaces, and associated databases. The lack of common engineering standards for data fusion systems has been a major impediment to integration and re-use of available technology: current developments do nor lend themselves to objective evaluation, comparison or re-use. This paper reports on proposed revisions and expansions of the JDL Data fusion model to remedy some of these deficiencies. This involves broadening the functional model and related taxonomy beyond the original military focus, and integrating the Data fusion Tree Architecture model for system description, design and development.

关键词： Data fusion Data modeling Systems modeling Standards development Data processing sensors Algorithm development Data analysis Systems engineering Signal detection

来源：评论

学校读者我要写书评

暂无评论

Multitarget tracking algorithm performance evaluation

Multitarget tracking algorithm performance evaluation

引用

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

作者： Zheng, H Farooq, M Main, R Royal Mil Coll Canada Dept Elect & Comp Engn Kingston ON K7K 5L0 Canada

ISBN: (纸本)0819431931

This paper discusses some problems in evaluating the performance of multi-target tracking (MTT) systems. various performance measures for the MTT systems are first described. These include: correlation statistics;track purity;track maintenance statistics;and kinematic statistics. Examples of single measures of performance are also given. The issues involved in the analytical prediction of performance are briefly discussed. Detailed descriptions of the computer simulation evaluation for the MTT systems include: test scenario selection, sensor modeling, data collection and the analysis of results. Two performance evaluation methods, namely: a two step method and a track classification approach are explored in this paper. The performance evaluation techniques are being Incorporated in a MTT test bed developed in the Department of Electrical and Computer Engineering at the Royal Military College of Canada, Kingston, Ontario, Canada.

关键词： multi-sensor multi-target tracking performance evaluation techniques

来源：评论

学校读者我要写书评

暂无评论

General software design for multisensor data fusion

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 230-239页

作者： Junliang, Zhang Yuming, Zhao 54th Research Inst of Electronic Industry Shijiazhuang China

In this paper a general method of software design for multisensor data fusion is discussed in detail, which adopts object-oriented technology under UNIX operation system. The software for multisensor data fusion is divided into six functional modules: data collection, database management, GIS, target display and alarming data simulation etc. Furthermore, the primary function, the components and some realization methods of each modular is given. The interfaces among these functional modular relations are discussed. The data exchange among each functional modular is performed by interprocess communication IPC, including message queue, semaphore and shared memory. Thus, each functional modular is executed independently, which reduces the dependence among functional modules and helps software programming and testing. This software for multisensor data fusion is designed as hierarchical structure by the inheritance character of classes. Each functional modular is abstracted and encapsulated through class structure, which avoids software redundancy and enhances readability.

关键词： Computer software

来源：评论

学校读者我要写书评

暂无评论

Neuro-Dynamic Programming for adaptive fusion complexity control

Neuro-Dynamic Programming for adaptive fusion complexity con...

引用

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

作者： Ross, KN Chaney, RD ALPHATECH Inc Burlington MA 01803 USA

ISBN: (纸本)0819431931

The prodigious amount of information provided by surveillance systems and other information sources has created unprecedented opportunities for achieving situation awareness. Because the mission's and user's needs are constantly evolving, fusion control strategics must adapt to these changing requirements. However, the optimal control problem with the desired adaptive control capabilities is enormously complex. Therefore, we solve the adaptive fusion control problem approximately using a methodology called Neuro-Dynamic Programming (NDP) that combines elements of dynamic programming, simulation-based reinforcement learning, and statistical inference techniques. This work demonstrates the promise of using NDP for adaptive fusion control by using it to allocate computational resources to Bayesian belief networks that use a variety of data types (e.g., SAR, MTI, ELINT, and terrain databases) to track and identify clusters of vehicles. We have significantly extended previous work by using NDP to adapt the fusion process itself in addition to deciding which clusters should get their inference updated. fusion within the Bayesian networks was adapted by using NDP to select the subset of available data to be used when updating the inference. We also extended previous work by using a dynamic scenario with moving vehicles for training and testing models.

关键词： adaptive fusion control Neuro-Dynamic Programming Bayesian networks reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Study of a modified Dempster-Shafer approach using an expected utility interval decision rule

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 34-42页

作者： Cheaito, Ali Lecours, Michel Bosse, Eloi Universite Laval Canada

The Combination operation of the conventional Dempster-Shafer algorithm has a tendency to increase exponentially the number of propositions involved in bodies of evidence by creating new ones. The aim of this paper is to explore a 'modified Dempster-Shafer' approach of fusing identity declarations emanating from different sources which include a number of radars, IFF and ESM systems in order to limit the explosion of the number of propositions. We use a non-ad hoc decision rule based on the expected utility interval (EUI) to select the most probable object in a comprehensive Platform Data Base (PDB) containing all the possible identity values that a potential target may take. We study the effect of the redistribution of the confidence levels of the eliminated propositions which otherwise overload the real-time data fusion system; these eliminated confidence levels can in particular be assigned to ignorance, or uniformly added to the remaining propositions and the ignorance. A scenario has been selected to demonstrate the performance of our modified Dempster-Shafer method of evidential reasoning.

关键词： sensor data fusion

来源：评论

学校读者我要写书评

暂无评论

Multi-spectral image fusion for visual display

Multi-spectral image fusion for visual display

引用

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

作者： Peli, T Peli, E Ellis, K Stahl, R Atlantic Aerosp Elect Corp Waltham MA 02154 USA

ISBN: (纸本)0819431931

This paper describes a contrast-based monochromatic fusion process. The fusion process is aimed for on board real time application and it is based on practical and computationally efficient image processing components. The process maximizes the information content in the combined image, while retaining visual clues that are essential for navigation/piloting tasks. The method is a multi scale fusion process that provides a combination of pixel selection from a single image and a weighing of the two/multiple images. The spectral region is divided into spatial sub bands of different scales and orientations, and within each scale a combination rule for the corresponding pixels taken from the two components is applied. Even when the combination rule is a binary selection the combined fused image may have a combination of pixel values taken from the two components at various scales since it is taken at each scale. The visual band input is given preference in low scale, large features fusion. This fusion process provides a fused image better tuned to the natural and intuitive human perception. This is necessary for pilotage and navigation under stressful conditions, while maintaining or enhancing the targeting detection and recognition performance of proven display fusion methodologies. The fusion concept was demonstrated against imagery from image intensifiers and forward looking infrared sensors currently used by the U.S. Navy for navigation and targeting. The approach is easily extendible to more than two bands.

关键词： image fusion contrast visual model night pilotage

来源：评论

学校读者我要写书评

暂无评论

Bio-fusion for intelligent system control

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 410-417页

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

来源：评论

学校读者我要写书评

暂无评论

Fuzzy multisensor tracking system

Fuzzy multisensor tracking system

引用

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

作者： Chan, Keith C.C. Lee, vika Leung, Henry Hong Kong Polytechnic Univ Kowloon Hong Kong

Many multi-sensor target tracking systems are developed under the assumptions that data association is too complex and computational requirement is too excessive for centralized fusion approaches to be practical. In addition, it is also assumed that the noise component is relatively small, that there are no missed detection and that the scanning interval is relatively short, etc. Many multi-sensor tracking systems have been shown to be able to perform effectively when tested with simulated data generated under these assumptions. However, careful investigation into the characteristics of several sets of real data reveals that these assumptions cannot always be made validly. In this paper, we first describe the characteristics of a real multisensor tracking environment and explain why existing systems may not be able to perform their task effectively in such environment. We then present a data fusion technique that can overcome some of the weaknesses of these systems. This technique consists of three steps: (i) estimation of synchronization error using an adaptive learning approach;(ii) adjustment of measured positions of a target in case of missed detection;and (iii) prediction of the next target position using a fuzzy logic based algorithm. For performance evaluation, we tested the technique using different sets of real and simulated data. The results obtained are very satisfactory.

关键词： sensor data fusion

来源：评论

学校读者我要写书评

暂无评论

Using hidden markov models to track human targets

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 380-388页

作者： Thompson, Scott R. Chamberlain, Neil F. Parimi, S.v. Chamberlain Thompson Engineering Systems Inc Hermosa United States

This paper presents a multiple sensor approach to tracking mobile human targets. The goal of this research is to have a video camera automatically monitor a moving (but otherwise passive) human subject in an environment that may contain multiple subjects and clutter. Real-time range data, obtained from arrays of acoustic sensors, are input to a hidden Markov model (HMM) and are processed in order to predict target location. The problem amounts to one of solving for an maximizing P(O|λ), which is the probability of obtaining an observation sequence O, given a HMM λ. First, the probability is calculated using the forward-backward recursive algorithm. Second, the parameters of the HMM are optimized using Baum-Welch iteration to maximize P(O|λ). The maximization procedure ceases when an acceptable tolerance, consistent with obtaining accurate prediction probabilities, is reached. Target track is extracted from the model using the viterbi algorithm. The hidden Markov models were formulated analytically and were initially trained and tested using synthetic data. Results obtained for single human targets moving at random in a large room yield a close correlation between the HMM output and the actual target tracks.

关键词： sensors

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：