handbook of multisensor data fusion phần 5 pdf

... and multisensor data fusion 1,4,6,7,12- 15, 18-21,24 is generally posed as (11.1) where Z N represents N data sets (Equation 11.2), γ is a partition of indices of the data ... chapter concludes with a brief discussion of other applications of CI. 12.2 Decentralized Data Fusion A decentralized data fusion system is a collection of processin...

Ngày tải lên: 14/08/2014, 05:20

... use of multiple sensors, through more varied information, has the potential to greatly improve state estimation and track identification. Fusion of information from multiple sensors is part of ... detection. For this sensor the probability of detection is a function, P d (r), of the range r from the sensor. Take the case of an underwater sensor such as an array of acoustic hydr...

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... assessment of the types of fusion processing performed and their operational status. 22.2 Recent Survey of Data Fusion Activities A survey of DoD operational, prototype, and planned data fusion ... Applications 22 A Survey of Multisensor Data Fusion Systems Mary L. Nichols Introduction • Recent Survey of Data Fusion Activities • Assessment of Syste...

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... (CA). 0 10 20 30 40  (A) 50 60 70 80 90 100 0 0 .5 1 1 .5 2 2 .5 3 3 .5 Average MSE x(1) estimate 0 10 20 30 40  (B) 50 60 70 80 90 100 0 0 .5 1 1 .5 Average MSE x(2) estimate a b A B                           − , ... Department of Engineering Science, University of Oxford, 19 95. 2. Grime, S. and Durrant-Whyte H., Data fusion in decentralized...

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... R.J., Comments on the use of templating for multisensor data fusion, in Proc. 1989 Tri-Service Data Fusion Symp., Vol, 1, 3 45, May 1989. 13. Noble, D.F., Template-based data fusion for situation assessment, ... of the data (e.g., area for image-like data, volume for 3-D data) . 1 2 3 1 2 3 4 5 a b  c d X Y TABLE 16.9 Matrix F: Data Fusion Node Design C...

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... to the JDL Data Fusion Model 2.1 Introduction 2.2 What Is Data Fusion? What Isn’t? The Role of Data Fusion • Definition of Data Fusion 2.3 Models and Architectures Data Fusion “Levels” ... Data Fusion? What Isn’t? 2.2.1 The Role of Data Fusion Often, the role of data fusion has been unduly restricted to a subset of the relevant processes. Unf...

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... Spatial Data 4.3 Defining Image and Spatial Data Fusion 4.4 Three Classic Levels of Combination for Multisensor Automatic Target Recognition Data Fusion Pixel-Level Fusion • Feature-Level Fusion ... Decision-Level Fusion • Multiple-Level Fusion 4 .5 Image Data Fusion for Enhancement of Imagery Data Multiresolution Imagery • Dynamic Imagery • Three- Dimens...

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... enemy Tables of Equipment, FIGURE 6.7 Biologically motivated metaphor for the data fusion process. Sensor input Short-term declarative Fusion Process, F Long-term procedural Database Long-term ... probability of detection in the presence of false alarms (clutter), data association — deciding which of the received multiple measurements to use to update each track —...

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... Association Hypotheses • Scan and Data Association Likelihood Functions • General Multiple- Hypothesis Tracking • Independent Multiple-Hypothesis Tracking 10 .5 Relationship of Unified Tracking to MHT ... Approaches General MHT Is a Special Case of Unified Tracking • Relationship of Unified Tracking to Other Multiple-Target Tracking Algorithms • Critique of Unified Tracking 1...

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... covariances of all of the states in all of the nodes are smaller than those for case 1. In other words, this example shows that this data distribution scheme successfully and usefully propagates data ... systems. Performing data fusion requires estimates of the state of a system to be converted to a common representation. The mean and covariance representation is the ling...

Ngày tải lên: 14/08/2014, 05:20