Multi-Sensor Data Fusion: An Introduction

Multi-Sensor Data Fusion: An Introductio

📁 Multi-Sensor Data Fusion: An Introduction

✍ H.B. Mitchell 📂 Library 📅 2007 🏛 Springer Verlag 🌐 English

<span>This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is

Multi-Sensor Filtering Fusion with Censo

📁 Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network

✍ Hang Geng, Zidong Wang, Yuhua Cheng 📂 Library 📅 2024 🏛 CRC Press 🌐 English

<p><span>This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized

Multi-Sensor Data Fusion with MATLAB

📁 Multi-Sensor Data Fusion with MATLAB

✍ Jitendra R. Raol 📂 Library 📅 2009 🌐 English

Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strate

Multi-Sensor Data Fusion with MATLAB

📁 Multi-Sensor Data Fusion with MATLAB

✍ Jitendra R. Raol 📂 Library 📅 2009 🌐 English

Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strate

Multi-sensor Fusion for Autonomous Drivi

📁 Multi-sensor Fusion for Autonomous Driving

✍ Xinyu Zhang, Jun Li, Zhiwei Li, Huaping Liu, Mo Zhou, Li Wang, Zhenhong Zou 📂 Library 📅 2023 🏛 Springer 🌐 English

Although sensor fusion is an essential prerequisite for autonomous driving, it entails a number of challenges and potential risks. For example, the commonly used deep fusion networks are lacking in interpretability and robustness. To address these fundamental issues, this book introduces the mechani

Multi-sensor image fusion and its applic

📁 Multi-sensor image fusion and its applications

✍ Rick S. Blum, Zheng Liu 📂 Library 📅 2006 🏛 Taylor & Francis 🌐 English