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\u2019s leading data fusion researchers and academicians, this authoritative book:\n--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 \n--Describes new materials and achievements in optimal fusion and multisensor filters \n--Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies \n--Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures \n--Showcases .