A class of Kalman filters for real-time image processing

被引：3

作者：

Laplante, PA ^{[1
]}

Neill, CJ ^{[1
]}

机构：

[1] Penn State Univ, Malvern, PA USA

来源：

REAL-TIME IMAGING VII | 2003年 / 5012卷

关键词：

fault-tolerance; Kalman filter; real-time system;

D O I：

10.1117/12.477499

中图分类号：

O43 [光学];

学科分类号：

070207 [光学]; 0803 [光学工程];

摘要：

In this paper we derive the object-oriented requirements and a design for a class of Kalman filters suitable for real-time image processing. First, we describe the Kalman filter and we provide motivation for using it as a mechanism for fault-tolerant computing and sensor fusion. Next, the details of using Kalman filters in imaging applications are discussed. Then, the advantages of using object-oriented specification, design and languages for the implementation of Kalman filters are studied. Finally, we present a specification and design for a class of Kalman filters, which is suitable for coding.

引用

页码：22 / 29

页数：8

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