Multisensor Data Fusion : From Algorithms and Architectural Design to Applications book cover
1st Edition

Multisensor Data Fusion
From Algorithms and Architectural Design to Applications

ISBN 9781482263749
Published August 26, 2015 by CRC Press
639 Pages - 181 B/W Illustrations

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Book Description

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book:

  • Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors
  • Describes new materials and achievements in optimal fusion and multisensor filters
  • Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies
  • Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures
  • Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Table of Contents


Challenges in Information Fusion Technology Capabilities for Modern Intelligence and Security Problems
James Llinas

Multisensor Data Fusion: A Data-Centric Review of the State of the Art and Overview of Emerging Trends
Bahador Khaleghi, Alaa Khamis, and Fakhri Karray

Information Fusion: Theory at Work
Jean-François Grandin

JDL Model (III) Updates for an Information Management Enterprise
Erik Blasch

Elements of Random Set Information Fusion
Ronald Mahler

Optimal Fusion for Dynamic Systems with Process Noise
Chee-Yee Chong and Shozo Mori

A Fuzzy Multicriteria Approach for Data Fusion
André D. Mora, António J. Falcão, Luís Miranda, Rita A. Ribeiro, and José M. Fonseca

Distributed Detection and Data Fusion with Heterogeneous Sensors
Satish G. Iyengar, Hao He, Arun Subramanian, Ruixin Niu, Pramod K. Varshney, and Thyagaraju Damarla

Fusion Systems Evaluation: An Information Quality Perspective
Ion-George Todoran, Laurent Lecornu, Ali Khenchaf, and Jean-Marc Le Caillec

Sensor Failure Robust Fusion
Matt Higger, Murat Akcakaya, Umut Orhan, and Deniz Erdogmus

Treatment of Dependent Information in Multisensor Kalman Filtering and Data Fusion
Benjamin Noack, Joris Sijs, Marc Reinhardt, and Uwe D. Hanebeck

Cubature Information Filters: Theory and Applications to Multisensor Fusion
Ienkaran Arasaratnam and Kumar Pakki Bharani Chandra

Estimation Fusion for Linear Equality Constrained Systems
Zhansheng Duan and X. Rong Li

Nonlinear Information Fusion Algorithm of an Asynchronous Multisensor Based on the Cubature Kalman Filter
Wei Gao, Ya Zhang, and Qian Sun

The Analytic Implementation of the Multisensor Probability Hypothesis Density Filter
Huang Fangming, Wang Kun, Jian Xu, and Huang Zhiliang

Information Fusion Estimation for Multisensor Multirate Systems with Multiplicative Noises
Shuli Sun, Jing Ma, and Fangfang Peng

Optimal Distributed Kalman Filtering Fusion with Singular Covariances of Filtering Errors and Measurement Noises
Enbin Song

Accumulated State Densities and Their Applications in Object Tracking
Wolfgang Koch

Belief Function-Based Multisensor Multitarget Classification Solution
Samir Hachour, François Delmotte, and David Mercier

Decision Fusion in Cognitive Wireless Sensor Networks
Andrea Abrardo, Marco Martalò, and Gianluigi Ferrari

Dynamics of Consensus Formation among Agent Opinions
Thanuka Wickramarathne, Kamal Premaratne, and Manohar Murthi

Decentralized Bayesian Fusion in Networks with Non-Gaussian Uncertainties
Nisar R. Ahmed, Simon J. Julier, Jonathan R. Schoenberg, and Mark E. Campbell

Attack-Resilient Sensor Fusion for CPS
Radoslav Ivanov, Miroslav Pajic, and Insup Lee


Multisensor Data Fusion for Water Quality Evaluation Using Dempster–Shafer Evidence Theory
Zhou Jian

A Granular Sensor-Fusion Method for Regenerative Life Support Systems
Gregorio E. Drayer and Ayanna M. Howard

Evaluating Image Fusion Performance: From Metrics to Cognitive Assessment
Zheng Liu and Erik Blasch

A Review of Feature and Data Fusion with Medical Images
Alex Pappachen James and Belur V. Dasarathy

Multisensor Data Fusion: Architecture Design and Application in Physical Activity Assessment
Shaopeng Liu and Robert X. Gao

Data Fusion for Attitude Estimation of a Projectile: From Theory to In-Flight Demonstration
Sébastien Changey and Emmanuel Pecheur

Data Fusion for Telemonitoring: Application to Health and Autonomy
Céline Franco, Nicolas Vuillerme, Bruno Diot, Jacques Demongeot, and Anthony Fleury

Sensor Data Fusion for Automotive Systems
Max Mauro Dias Santos

Data Fusion in Intelligent Traffic and Transportation Engineering: Recent Advances and Challenges
Nour-Eddin El Faouzi and Lawrence A. Klein

Application of Multisensor Data Fusion for Traffic Congestion Analysis
Shrikant Fulari, Lelitha Vanajakshi, Shankar C. Subramanian, and T. Ajitha

Consensus-Based Decentralized Extended Kalman Filter for State Estimation of Large-Scale Freeway Networks
Liguo Zhang

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Hassen Fourati is currently an associate professor in the Electrical Engineering and Computer Science Department at the University Grenoble Alpes, Grenoble, France, and a member of the Networked Controlled Systems Team (NeCS), affiliated with the Automatic Control Department of the Laboratoire Grenoble Images Parole Signal Automatique (GIPSA-LAB) and the Institut National de Recherche en Informatique et en Automatique (INRIA). He holds a B.Eng in electrical engineering from the National Engineering School of Sfax, Tunisia; master’s in automated systems and control from the University of Claude Bernard, Lyon, France; and Ph.D in automatic control from the University of Strasbourg, France. His research interests include nonlinear filtering, estimation, and multisensor fusion with applications in navigation, inertial and magnetic sensors, robotics, and traffic management. He has published several research journal articles, papers in international conferences, and book chapters.