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Tracking and Sensor Data Fusion

Part of the Mathematical Engineering Book Series

DOI: 10.1007/978-3-642-39271-9

ISBN: 978-3-642-39270-2

Publisher: Springer Berlin Heidelberg - Springer Journals

Sep 21, 2013

1 - 10 of 10 Chapters

LitStream

Chapter 1Notion and Structure of Sensor Data Fusion

Koch, Wolfgang

Pages: 1 –27

[Sensor data fusion is an omnipresent phenomenon that existed prior to its technological realization or the scientific reflection on it. In fact, all living creatures, including human beings, by nature or intuitively perform sensor data fusion. Each in their own way, they combine or “fuse”...
LitStream

Characterizing Objects and Sensors

Koch, Wolfgang

Pages: 31 –52

[In most cases, not all properties characterizing observed objects in a certain application have the same importance for producing a situation picture or can be inferred by the sensor systems involved. At the very beginning, we have to identify suitable object properties relevant to the...
LitStream

Bayesian Knowledge Propagation

Koch, Wolfgang

Pages: 53 –82

[Within the general framework of Bayesian reasoning and based on object evolution models and sensor likelihood functions, such as those previously discussed, we proceed along the following lines.]
LitStream

Sequential Track Extraction

Koch, Wolfgang

Pages: 83 –88

[Iterative tracking algorithms must be initiated appropriately. Under simple conditions, this is not a difficult task, as has been shown above (Eq. 3.8). For low observable objects, i.e. objects embedded in a high clutter background [1–5] or in case of incomplete measurements [6, 7], more than a...
LitStream

On Recursive Batch Processing

Koch, Wolfgang

Pages: 89 –105

[Most target tracking algorithms aim at calculating the conditional probability densities p(Xl|Zk)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs}...
LitStream

Aspects of Track-to-Track Fusion

Koch, Wolfgang

Pages: 107 –123

[In many distributed tracking applications, the quality of a state estimation suffers from communication bandwidth limitations. In particular, scenarios using wireless channels such as HF radio, WLAN, or 3G networks experience link breakdowns and limited capacity constraints. Furthermore, if...
LitStream

Integration of Advanced Sensor Properties

Koch, Wolfgang

Pages: 127 –156

[Advanced signal processing techniques exploit even sophisticated physical phenomena of objects of interest and are fundamental to modern sensor system design.]
LitStream

Integration of Advanced Object Properties

Koch, Wolfgang

Pages: 157 –185

[In several applications, it is necessary to learn more from the sensor data received than the time-varying geolocation of moving objects of interest. Rather, we wish to understand what the objects we observe are, i.e. we aim to learn as much as possible about their attributes in order to be able...
LitStream

Integration of Topographical Information

Koch, Wolfgang

Pages: 187 –210

[Complex sensing environments, such as in airborne ground surveillance or reconnaissance in an urban terrain, are increasingly present in modern applications of sensor data fusion. In order to fulfill user requirements even under those challenging conditions, it is not enough to use a broad...
LitStream

Feed-Back to Acquisition: Sensor Management

Koch, Wolfgang

Pages: 211 –235

[Modern active phased-array radar [1] is an example of a multifunctional sensor system that requires sophisticated sensor management algorithms for its efficient operation. Such systems call for efficient exploitation of their degrees of freedom, which are variable over a wide range and may be...

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