handbook of multisensor data fusion
handbook of multisensor data fusion phần 1 pot
... 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...
handbook of multisensor data fusion phần 2 pptx
... 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-
Dimensio...
handbook of multisensor data fusion phần 3 pot
... 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 • Incorp...
handbook of multisensor data fusion phần 4 pot
... Approaches
General MHT Is a Special Case of Unified Tracking •
Relationship of Unified Tracking to Other Multiple-Target
Tracking Algorithms • Critique of Unified Tracking
10.6 Likelihood Ratio ... 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 a set...
handbook of multisensor data fusion phần 5 pot
... 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...
handbook of multisensor data fusion phần 6 ppt
... 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...
handbook of multisensor data fusion phần 7 ppt
... Performance of Multisensor Fusion Processes James Llinas
Introduction • Test and Evaluation of the Data Fusion Process • Tools for Evaluation:
Testbeds, Simulations, and Standard Data Sets • Relating Fusion ...
Architecture
16.3 Data Fusion Systems Engineering Process
Data Fusion Engineering Methodology • The Process of
Systems Engineering
16.4 Fusion Syste...
handbook of multisensor data fusion phần 8 ppt
... 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). Conceptually, sensor data are
preprocessed ...
Performance • Data Representation Accuracy • Database
Performance Efficiency • Spatial Data Representation
Characteristics • Database Design Tradeoffs
18.5 Object Repre...
handbook of multisensor data fusion phần 9 pdf
... 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...
handbook of multisensor data fusion phần 10 pptx
... 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...