ABSTRACT

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.

section 1|421 pages

Novel Advances in Multisensor Data Fusion Algorithm Design

chapter 2|19 pages

Multisensor Data Fusion

A Data-Centric Review of the State of the Art and Overview of Emerging Trends
ByBahador Khaleghi, Alaa Khamis, Fakhri Karray

chapter 3|19 pages

Information Fusion

Theory at Work
ByJean-François Grandin

chapter 4|19 pages

Information Fusion

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

chapter 5|13 pages

Elements of Random Set Information Fusion

ByRonald Mahler

chapter 6|20 pages

Optimal Fusion for Dynamic Systems with Process Noise

ByChee-Yee Chong, Shozo Mori

chapter 7|17 pages

A Fuzzy Multicriteria Approach for Data Fusion

ByAndré D. Mora, António J. Falcão, Luís Miranda, Rita A. Ribeiro, José M. Fonseca

chapter 8|20 pages

Distributed Detection and Data Fusion with Heterogeneous Sensors

BySatish G. Iyengar, Hao He, Arun Subramanian, Ruixin Niu, Pramod K. Varshney, Thyagaraju Damarla

chapter 9|10 pages

Fusion Systems Evaluation

An Information Quality Perspective
ByIon-George Todoran, Laurent Lecornu, Ali Khenchaf, Jean-Marc Le Caillec

chapter 10|12 pages

Sensor Failure Robust Fusion

ByMatt Higger, Murat Akcakaya, Umut Orhan, Deniz Erdogmus

chapter 11|24 pages

Treatment of Dependent Information in Multisensor Kalman Filtering and Data Fusion

ByBenjamin Noack, Joris Sijs, Marc Reinhardt, Uwe D. Hanebeck

chapter 12|14 pages

Cubature Information Filters

Theory and Applications to Multisensor Fusion
ByIenkaran Arasaratnam, Kumar Pakki Bharani Chandra

chapter 13|16 pages

Estimation Fusion for Linear Equality Constrained Systems

ByZhansheng Duan, X. Rong Li

chapter 15|18 pages

The Analytic Implementation of the Multisensor Probability Hypothesis Density Filter

ByFangming Huang, Kun Wang, Jian Xu, Zhiliang Huang

chapter 16|13 pages

Information Fusion Estimation for Multisensor Multirate Systems with Multiplicative Noises

ByShuli Sun, Jing Ma, Fangfang Peng

chapter 19|18 pages

Belief Function Based Multisensor Multitarget Classification Solution

BySamir Hachour, François Delmotte, David Mercier

chapter 20|14 pages

Decision Fusion in Cognitive Wireless Sensor Networks

ByAndrea Abrardo, Marco Martalò, Gianluigi Ferrari

chapter 21|19 pages

Dynamics of Consensus Formation among Agent Opinions

ByThanuka Wickramarathne, Kamal Premaratne, Manohar Murthi

chapter 22|26 pages

Decentralized Bayesian Fusion in Networks with Non-Gaussian Uncertainties

ByNisar R. Ahmed, Simon J. Julier, Jonathan R. Schoenberg, Mark E. Campbell

chapter 23|13 pages

Attack-Resilient Sensor Fusion for CPS

ByRadoslav Ivanov, Miroslav Pajic, Insup Lee

section 2|199 pages

Multisensor Data Fusion Showcases Advancements

chapter 25|18 pages

A Granular Sensor-Fusion Method for Regenerative Life Support Systems

ByGregorio E. Drayer, Ayanna M. Howard

chapter 26|37 pages

Evaluating Image Fusion Performance

From Metrics to Cognitive Assessment
ByZheng Liu, Erik Blasch

chapter 27|17 pages

A Review of Feature and Data Fusion with Medical Images

ByAlex Pappachen James, Belur V. Dasarathy

chapter 28|10 pages

Architecture Design and Application in Physical Activity Assessment

ByShaopeng Liu, Robert X. Gao

chapter 29|15 pages

Data Fusion for Attitude Estimation of a Projectile From Theory to In-Flight Demonstration

BySébastien Changey, Emmanuel Pecheur

chapter 30|14 pages

Data Fusion for Telemonitoring Application to Health and Autonomy

ByCéline Franco, Nicolas Vuillerme, Bruno Diot, Jacques Demongeot, Anthony Fleury

chapter 31|13 pages

Sensor Data Fusion for Automotive Systems

ByMax Mauro Dias Santos

chapter 32|32 pages

Data Fusion in Intelligent Traffic and Transportation Engineering Recent Advances and Challenges

ByNour-Eddin El Faouzi, Lawrence A. Klein

chapter 33|15 pages

Application of Multisensor Data Fusion for Traffic Congestion Analysis

ByShrikant Fulari, Lelitha Vanajakshi, Shankar C. Subramanian, T. Ajitha