Kalman Filter: Introduction to State Estimation and Its Application for Embedded Systems
暫譯: 卡爾曼濾波器：狀態估計及其在嵌入式系統中的應用介紹
Marchthaler, Reiner, Dingler, Sebastian
商品描述
This textbook presents the theory of Kalman filtering in an easy-to-understand way. The authors provide an introduction to Kalman filters and their application in embedded systems. In addition, the design of Kalman filters is demonstrated using concrete practical examples - individual steps are explained in detail throughout the book.
Kalman filters are the method of choice for eliminating interference signals from sensor data. This is particularly important because many technical systems obtain their process-relevant information via sensors. However, every sensor measurement contains errors due to various factors. If a system were to operate solely based on these inaccurate sensor readings, many applications--such as navigation systems or autonomous systems--would not be feasible.
The book is suitable for interested bachelor's and master's students in the fields of computer science, mechanical engineering, electrical engineering, and mechatronics. It is also a valuable resource for engineers and researchers who want to use a Kalman filter, for example, for data fusion or the estimation of unknown variables in real-time applications.
Kalman filters are the method of choice for eliminating interference signals from sensor data. This is particularly important because many technical systems obtain their process-relevant information via sensors. However, every sensor measurement contains errors due to various factors. If a system were to operate solely based on these inaccurate sensor readings, many applications--such as navigation systems or autonomous systems--would not be feasible.
The book is suitable for interested bachelor's and master's students in the fields of computer science, mechanical engineering, electrical engineering, and mechatronics. It is also a valuable resource for engineers and researchers who want to use a Kalman filter, for example, for data fusion or the estimation of unknown variables in real-time applications.
商品描述(中文翻譯)
這本教科書以易於理解的方式介紹了卡爾曼濾波的理論。作者提供了卡爾曼濾波器及其在嵌入式系統中應用的介紹。此外，書中使用具體的實際範例來展示卡爾曼濾波器的設計，並詳細解釋每個步驟。
卡爾曼濾波器是消除傳感器數據中干擾信號的首選方法。這一點尤其重要，因為許多技術系統通過傳感器獲取其過程相關的信息。然而，每個傳感器測量都因各種因素而包含誤差。如果一個系統僅根據這些不準確的傳感器讀數運行，許多應用——例如導航系統或自主系統——將無法實現。
本書適合對計算機科學、機械工程、電氣工程和機電一體化領域感興趣的學士和碩士學生。對於希望使用卡爾曼濾波器的工程師和研究人員來說，這也是一本寶貴的資源，例如用於數據融合或在實時應用中估計未知變量。
作者簡介
Prof. Dr. Reiner Marchthaler holds a professorship in the field of "Embedded Systems" in the Faculty of Computer Science and Engineering at Esslingen University of Applied Sciences, specializing in data fusion. Sebastian Dingler studied Computer Engineering and Computer Science at Esslingen University of Applied Sciences and at the Karlsruhe Institute of Technology (KIT).
作者簡介(中文翻譯)
雷納·馬赫塔勒教授在艾斯林根應用科技大學的計算機科學與工程學院擔任「嵌入式系統」領域的教授，專注於數據融合。 塞巴斯蒂安·丁格勒在艾斯林根應用科技大學和卡爾斯魯厄理工學院（KIT）學習計算機工程和計算機科學。
