handbook of multisensor data fusion phần 7 ppt

... Implementing Data Fusion Systems Christopher L. Bowman and Alan N. Steinberg Scope • Architecture for Data Fusion • Data Fusion System Engineering Process • Fusion System Role Optimization 17 Studies ... Performance of Multisensor Fusion Processes James Llinas Introduction • Test and Evaluation of the Data Fusion Process • Tools for Evaluation: Testbeds, Simu...

Ngày tải lên: 14/08/2014, 05:20

... 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 ... principles and practice of image and spatial data fusion, in Proceedings of the 8th National Data Fusion Conference, Dallas, Texas, March 15– 17, 1995, pp. 2...

Ngày tải lên: 14/08/2014, 05:20

... 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...

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... algorithm selection. 7 The traditional approach for fusion of data progresses from the sensor data (shown on the left side of Figure 19.1) toward the human user (on the right side of Figure 19.1). ... Performance • Data Representation Accuracy • Database Performance Efficiency • Spatial Data Representation Characteristics • Database Design Tradeoffs 18.5 Object Represe...

Ngày tải lên: 14/08/2014, 05:20

... early identification of the precursors to failure of safety-critical system components from maintenance data and sensors distributed throughout the system. Use of the mountains of data generated by ... maximum confidence criteria of Equation 23.4. (23.4) This implementation of weighted decision fusion permits future extension in two ways. First, it provides a path to the use...

Ngày tải lên: 14/08/2014, 05:20

... (34 /77 ) 233(20.5/34) (0.1) (34 /77 ) 311( 17/ 31) (0.5) (31 /77 ) 312( 17/ 31) (0.1) (31 /77 ) 313( 17/ 31) (0.4) (31 /77 ) 331(14/31) (0.5) (31 /77 ) 332(14/31) (0.1) (31 /77 ) 333(14/31) (0.4) (31 /77 ) TABLE 7. 10 ... (12 /77 ) 121(3.5/12) (0.3) (12 /77 ) 122(3.5/12) (0.1) (12 /77 ) 123(3.5/12) (0.6) (12 /77 ) 221(13.5/34) (0.1) (34 /77 ) 222(13.5/34) (0.8) (34 /77 ) 223(13.5/34) (0.1)...

Ngày tải lên: 14/08/2014, 05:20

... integrated data fusion, in Proc. 7th Nat’l Symp. on Sensor Fusion, I (Unclass), ERIM, Ann Arbor, MI, 1994, 1 87. 4. Mahler, R., A unified approach to data fusion, in Proc. 7th Joint Data Fusion Symp., ... Nat’l. Symp. on Sensor and Data Fusion, I (Unclass), ERIM, 1998, 1 47. 51. Mori, S., Random sets in data fusion: multi-object state-extination as a foundation of data...

Ngày tải lên: 14/08/2014, 05:20

... 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...

Ngày tải lên: 14/08/2014, 04:22

... 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 ... Jeffrey K. Uhlmann Introduction • Decentralized Data Fusion • Covariance Intersection • Using Covariance Intersection for Distributed Data Fusion • Extended Example • Incor...

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... Efficient Computation of the JAM 9 .7 Crude Permanent Approximations 9.8 Approximations Based on Permanent Inequalities 9.9 Comparisons of Different Approaches 9.10 Large-Scale Data Association ... approach. The goal of this chapter is to provide the reader with some insights and perhaps a new view of multiple-target tracking. It is not designed to provide the reader with...

Ngày tải lên: 14/08/2014, 05:20