1st Edition
by Armando Barreto (Author), Malek Adjouadi (Author), Francisco R. Ortega (Author), Nonnarit O-larnnithipong (Author)
The emergence of affordable micro sensors, such as MEMS Inertial
Measurement Systems, are applied in embedded systems and
Internet-of-Things devices. This has brought techniques such as Kalman
Filtering, which are capable of combining information from multiple
sensors or sources, to the interest of students and hobbyists. This book
will explore the necessary background concepts, helping a much wider
audience of readers develop an understanding and intuition that will
enable them to follow the explanation for the Kalman Filtering
algorithm.
Key Features:
- Provides intuitive understanding of Kalman Filtering approach
- Succinct overview of concepts to enhance accessibility and appeal to a wide audience
- Interactive learning techniques with code examples
