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Kalman Filtering

2009 Business & Economics
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Release : 2009
Genre : Business & Economics
Kind : eBook
Book Rating : 483/5 ( reviews)

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Book Synopsis Kalman Filtering by : Charles K. Chui

Download or read book Kalman Filtering written by Charles K. Chui. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method and an indirect method.

Kalman Filtering

1991 Computers
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Release : 1991
Genre : Computers
Kind : eBook
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Book Synopsis Kalman Filtering by : C. K. Chui

Download or read book Kalman Filtering written by C. K. Chui. This book was released on 1991. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction and Implementations of the Kalman Filter

2019-05-22 Computers
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Release : 2019-05-22
Genre : Computers
Kind : eBook
Book Rating : 362/5 ( reviews)

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Book Synopsis Introduction and Implementations of the Kalman Filter by : Felix Govaers

Download or read book Introduction and Implementations of the Kalman Filter written by Felix Govaers. This book was released on 2019-05-22. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Kalman Filtering and Its Real-Time Applications

2016 Computers
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Release : 2016
Genre : Computers
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Book Synopsis Kalman Filtering and Its Real-Time Applications by : Lim Chot Hun

Download or read book Kalman Filtering and Its Real-Time Applications written by Lim Chot Hun. This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt: Kalman filter was pioneered by Rudolf Emil Kalman in 1960, originally designed and developed to solve the navigation problem in Apollo Project. Since then, numerous applications were developed with the implementation of Kalman filter, such as applications in the fields of navigation and computer vision's object tracking. Kalman filter consists of two separate processes, namely the prediction process and the measurement process, which work in a recursive manner. Both processes are modeled by groups of equations in the state space model to achieve optimal estimation outputs. Prior knowledge on the state space model is needed, and it differs between different systems. In this chapter, the authors outlined and explained the fundamental Kalman filtering model in real-time discrete form and devised two real-time applications that implemented Kalman filter. The first application involved using vision camera to perform real-time image processing for vehicle tracking, whereas the second application discussed the real-time Global Positioning System (GPS)-aided Strapdown Inertial Navigation Unit (SINU) system implementation using Kalman filter. Detail descriptions, model derivations, and results are outlined in both applications.

Kalman Filters

2023-06-27 Computers
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Release : 2023-06-27
Genre : Computers
Kind : eBook
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Book Synopsis Kalman Filters by : Fouad Sabry

Download or read book Kalman Filters written by Fouad Sabry. This book was released on 2023-06-27. Available in PDF, EPUB and Kindle. Book excerpt: What Is Kalman Filters An algorithm that uses a series of measurements observed over time, including statistical noise and other inaccuracies, Kalman filtering is also known as linear quadratic estimation (LQE), and it produces estimates of unknown variables that tend to be more accurate than those that are based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. This is accomplished by estimating a joint probability distribution over the variables for each timeframe. Rudolf E. Kálmán, who was a significant contributor to the development of the theory behind the filter, is honored with the naming of the device. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Kalman filter Chapter 2: Weighted arithmetic mean Chapter 3: Multivariate random variable Chapter 4: Covariance Chapter 5: Covariance matrix Chapter 6: Expectation-maximization algorithm Chapter 7: Minimum mean square error Chapter 8: Recursive least squares filter Chapter 9: Linear-quadratic-Gaussian control Chapter 10: Extended Kalman filter (II) Answering the public top questions about kalman filters. (III) Real world examples for the usage of kalman filters in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of kalman filters. What is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.

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