Introduction and Implementations of the Kalman Filter
eBook - PDF

Introduction and Implementations of the Kalman Filter

  1. 128 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Introduction and Implementations of the Kalman Filter

About this book

Sensor data fusion is the process of combining error-prone, heterogeneous, incomplete, and ambiguous data to gather a higher level of situational awareness. In principle, all living creatures are fusing information from their complementary senses to coordinate their actions and to detect and localize danger. In sensor data fusion, this process is transferred to electronic systems, which rely on some "awareness" of what is happening in certain areas of interest. By means of probability theory and statistics, it is possible to model the relationship between the state space and the sensor data. The number of ingredients of the resulting Kalman filter is limited, but its applications are not.

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Yes, you can access Introduction and Implementations of the Kalman Filter by Felix Govaers in PDF and/or ePUB format, as well as other popular books in Tecnologia e ingegneria & Elaborazione di segnali. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Introduction and Implementations of the Kalman Filter