Intuitive Understanding of Kalman Filtering with Matlab(r)
暫譯: 使用 Matlab(r) 直觀理解卡爾曼濾波
Barreto, Armando, Adjouadi, Malek, Ortega, Francisco R.
相關主題
商品描述
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
Malek Adjouadi, PhD, is Ware Professor with the Department of Electrical and Computer Engineering at Florida International University, Miami. He received his PhD from the Electrical Engineering Department at the University of Florida, Gainesville. He is the Founding Director of the Center for Advanced Technology and Education funded by the National Science Foundation. His earlier work on computer vision to help persons with blindness led to his testimony to the U.S. Senate on the committee of Veterans Affairs on the subject of technology to help persons with disabilities. His research interests are in imaging, signal processing and machine learning, with applications in brain research and assistive technology.
Armando Barreto, PhD, is Professor of the Electrical and Computer Engineering Department at Florida International University, Miami, as well as the Director of FIU's Digital Signal Processing Laboratory, with more than 25 years of experience teaching DSP to undergraduate and graduate students. He earned his PhD in electrical engineering from the University of Florida, Gainesville. His work has focused on applying DSP techniques to the facilitation of human-computer interactions, particularly for the benefit of individuals with disabilities. He has developed human-computer interfaces based on the processing of signals and has developed a system that adds spatialized sounds to the icons in a computer interface to facilitate access by individuals with "low vision." With his research team, he has explored the use of Magnetic, Angular-Rate and Gravity (MARG) sensor modules and Inertial Measurement Units (IMUs) for human-computer interaction applications. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).
Francisco R. Ortega, PhD, is an Assistant Professor at Colorado State University and Director of the Natural User Interaction Lab (NUILAB). Dr. Ortega earned his PhD in Computer Science (CS) in the field of Human-Computer Interaction (HCI) and 3D User Interfaces (3DUI) from Florida International University (FIU). He also held a position of Post-Doc and Visiting Assistant Professor at FIU. His main research area focuses on improving user interaction in 3DUI by (a) eliciting (hand and full-body) gesture and multimodal interactions, (b) developing techniques for multimodal interaction, and (c) developing interactive multimodal recognition systems. His secondary research aims to discover how to increase interest for CS in non-CS entry-level college students via virtual and augmented reality games. His research has resulted in multiple peer-reviewed publications in venues such as ACM ISS, ACM SUI, and IEEE 3DUI, among others. He is the first-author of the CRC Press book Interaction Design for 3D User Interfaces: The World of Modern Input Devices for Research, Applications and Game Development.
Nonnarit O-larnnithipong, PhD, is an Instructor at Florida International University. Dr. O-larnnithipong earned his PhD in Electrical Engineering, majoring in Digital Signal Processing from Florida International University (FIU). He also held a position of Post-Doctoral Associate at FIU in 2019. His research has focused on (1) implementing the sensor fusion algorithm to improve orientation measurement using MEMS inertial and magnetic sensors and (2) developing a 3D hand motion tracking system using Inertial Measurement Units (IMUs) and infrared cameras. His research has resulted in multiple peer-reviewed publications in venues such as HCI-International and IEEE Sensors.
商品描述(中文翻譯)
微型傳感器的出現，例如MEMS慣性測量系統，已應用於嵌入式系統和物聯網設備。這引起了學生和愛好者對於能夠結合多個傳感器或來源信息的技術，如卡爾曼濾波（Kalman Filtering）的興趣。本書將探討必要的背景概念，幫助更廣泛的讀者群體發展理解和直覺，使他們能夠跟隨卡爾曼濾波算法的解釋。
主要特點：
- 提供對卡爾曼濾波方法的直觀理解
- 簡明的概述概念，以增強可及性並吸引廣泛的讀者
- 互動學習技術，附有代碼示例
Malek Adjouadi博士是邁阿密佛羅里達國際大學電機與計算機工程系的Ware教授。他在佛羅里達大學（University of Florida, Gainesville）的電機工程系獲得博士學位。他是由美國國家科學基金會資助的先進技術與教育中心的創始主任。他早期在計算機視覺方面的工作幫助視障人士，並因此在美國參議院退伍軍人事務委員會上作證，討論幫助殘障人士的技術。他的研究興趣包括成像、信號處理和機器學習，應用於腦研究和輔助技術。
Armando Barreto博士是邁阿密佛羅里達國際大學電機與計算機工程系的教授，也是FIU數位信號處理實驗室的主任，擁有超過25年的教學經驗，教授本科生和研究生數位信號處理。他在佛羅里達大學（University of Florida, Gainesville）獲得電機工程博士學位。他的工作專注於將數位信號處理技術應用於促進人機互動，特別是為殘障人士的利益而設計。他開發了基於信號處理的人機介面，並開發了一個系統，為計算機介面中的圖標添加空間化聲音，以便低視力人士能夠更容易地訪問。與他的研究團隊一起，他探索了磁性、角速度和重力（MARG）傳感器模組及慣性測量單元（IMUs）在人體與計算機互動應用中的使用。他是電氣和電子工程師學會（IEEE）和計算機協會（ACM）的資深會員。
Francisco R. Ortega博士是科羅拉多州立大學的助理教授，也是自然用戶互動實驗室（NUILAB）的主任。Ortega博士在佛羅里達國際大學（FIU）獲得計算機科學（CS）博士學位，專攻人機互動（HCI）和3D用戶介面（3DUI）。他還曾在FIU擔任博士後研究員和訪問助理教授。他的主要研究領域專注於通過（a）引導（手部和全身）手勢和多模態互動、（b）開發多模態互動技術，以及（c）開發互動多模態識別系統來改善3DUI中的用戶互動。他的次要研究旨在探索如何通過虛擬和增強現實遊戲來提高非計算機科學入門大學生對計算機科學的興趣。他的研究在ACM ISS、ACM SUI和IEEE 3DUI等多個期刊上發表了多篇同行評審的論文。他是CRC Press書籍《3D用戶介面的互動設計：現代輸入設備的世界，研究、應用和遊戲開發》的第一作者。
Nonnarit O-larnnithipong博士是佛羅里達國際大學的講師。O-larnnithipong博士在佛羅里達國際大學（FIU）獲得電機工程博士學位，主修數位信號處理。他在2019年曾擔任FIU的博士後研究員。他的研究專注於（1）實施傳感器融合算法以改善使用MEMS慣性和磁性傳感器的方向測量，以及（2）使用慣性測量單元（IMUs）和紅外攝像機開發3D手部運動追蹤系統。他的研究在《HCI-International》和《IEEE Sensors》等多個期刊上發表了多篇同行評審的論文。
作者簡介
Malek Adjouadi, PhD, is a Ware professor with the Department of Electrical and Computer Engineering at Florida International University, Miami. He received his PhD from the Electrical Engineering Department at the University of Florida, Gainesville. He is the founding director of the Center for Advanced Technology and Education funded by the National Science Foundation. His earlier work on computer vision to help persons with blindness led to his testimony to the US Senate on the committee of Veterans Affairs on the subject of technology to help persons with disabilities. His research interests are in imaging, signal processing and machine learning with applications in brain research and assistive technology.
Armando Barreto, PhD, is a professor of the Electrical and Computer Engineering Department at Florida International University, Miami, as well as the director of FIU's Digital Signal Processing Laboratory, with more than 25 years of experience teaching DSP to undergraduate and graduate students. He earned his PhD in electrical engineering from the University of Florida, Gainesville. His work has focused on applying DSP techniques to the facilitation of human-computer interactions, particularly for the benefit of individuals with disabilities. He has developed human-computer interfaces based on the processing of signals and has developed a system that adds spatialized sounds to the icons in a computer interface to facilitate access by individuals with "low vision." With his research team, he has explored the use of Magnetic, Angular-Rate and Gravity (MARG) sensor modules and Inertial Measurement Units (IMUs) for human-computer interaction applications. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).
Francisco R. Ortega, Ph.D. is an Assistant Professor at Colorado State University and Director of the natural user interaction lab (NUILAB). Dr. Ortega earned his Ph.D. in Computer Science (CS) in the field of Human-Computer Interaction (HCI) and 3D User Interfaces (3DUI) from Florida International University (FIU). He also held a position of Post-Doc and Visiting Assistant Professor at FIU between February 2015 to July 2018. Broadly speaking, his research has focused on gesture interaction, which includes gesture recognition and elicitation. His main research area focuses on improving user interaction by (a) eliciting (hand and full-body) gesture sets by user elicitation, and (b) developing interactive gesture-recognition algorithms. His secondary research aims to discover how to increase interest for CS in non-CS entry-level college students via virtual and augmented reality games. His research has resulted in multiple peer-reviewed publications in venues such as ACM ISS, ACM SUI, and IEEE 3DUI, among others. He is the first-author of Interaction Design for 3D User Interfaces: The World of Modern Input Devices for Research, Applications, and Game Development book by CRC Press.
Nonnarit O-larnnithipong, Ph.D., is an Instructor at Florida International University. Dr. O-larnnithipong earned his Ph.D. in Electrical Engineering, majoring in Digital Signal Processing from Florida International University (FIU). He also held a position of Post-Doctoral Associate at FIU between January to April 2019. His research has focused on (a) implementing the sensor fusion algorithm to improve orientation measurement using MEMS inertial and magnetic sensors, and (b) developing a 3D hand motion tracking system using IMUs and infrared cameras. His research has resulted in multiple peer-reviewed publications in venues such as HCI-International and IEEE Sensors.
作者簡介(中文翻譯)
馬雷克·阿久阿迪（Malek Adjouadi）博士是邁阿密佛羅里達國際大學（Florida International University）電機與計算機工程系的Ware教授。他在佛羅里達大學（University of Florida）電機工程系獲得博士學位。他是由美國國家科學基金會資助的先進技術與教育中心的創始主任。他早期在計算機視覺方面的研究旨在幫助視障人士，並因此在美國參議院退伍軍人事務委員會上就幫助殘障人士的技術進行了證詞。他的研究興趣包括影像處理、信號處理和機器學習，並應用於腦部研究和輔助技術。
阿曼多·巴雷托（Armando Barreto）博士是邁阿密佛羅里達國際大學電機與計算機工程系的教授，也是FIU數位信號處理實驗室的主任，擁有超過25年的教學經驗，教授本科生和研究生數位信號處理（DSP）。他在佛羅里達大學獲得電機工程博士學位。他的工作專注於將DSP技術應用於促進人機互動，特別是為殘障人士提供便利。他開發了基於信號處理的人機介面，並開發了一個系統，為計算機介面中的圖示添加空間化聲音，以便於“低視力”人士的訪問。與他的研究團隊一起，他探索了磁性、角速度和重力（MARG）傳感器模組及慣性測量單元（IMUs）在人體與計算機互動應用中的使用。他是電氣與電子工程師學會（IEEE）和計算機協會（ACM）的資深會員。
弗朗西斯科·R·奧爾特加（Francisco R. Ortega）博士是科羅拉多州立大學的助理教授，也是自然用戶互動實驗室（NUILAB）的主任。奧爾特加博士在佛羅里達國際大學（FIU）獲得計算機科學（CS）博士學位，專攻人機互動（HCI）和3D用戶介面（3DUI）。他在2015年2月至2018年7月期間擔任FIU的博士後研究員和訪問助理教授。廣義來說，他的研究專注於手勢互動，包括手勢識別和引導。他的主要研究領域集中在通過（a）用戶引導來引出（手部和全身）手勢集，以及（b）開發互動手勢識別算法來改善用戶互動。他的次要研究旨在探索如何通過虛擬和擴增實境遊戲來提高非計算機科學入門大學生對計算機科學的興趣。他的研究在ACM ISS、ACM SUI和IEEE 3DUI等多個同行評審的出版物中發表。他是CRC Press出版的《3D用戶介面的互動設計：現代輸入設備的研究、應用和遊戲開發世界》一書的第一作者。
農納里特·奧蘭尼提朋（Nonnarit O-larnnithipong）博士是佛羅里達國際大學的講師。奧蘭尼提朋博士在佛羅里達國際大學（FIU）獲得電機工程博士學位，主修數位信號處理。他在2019年1月至4月期間擔任FIU的博士後研究員。他的研究專注於（a）實施傳感器融合算法以改善使用MEMS慣性和磁性傳感器的方向測量，以及（b）使用IMUs和紅外攝像機開發3D手部運動追蹤系統。他的研究在HCI-International和IEEE Sensors等多個同行評審的出版物中發表。
