Overview

Addressing recent challenges and developments in this growing field, Multisensor Data Fusion Uncertainty Theory first discusses basic questions such as: Why and when is multiple sensor fusion necessary? How can the available measurements be characterized in such a case? What is the purpose and the specificity of information fusion processing in multiple sensor systems? Considering the different uncertainty formalisms, a set of coherent operators corresponding to the different steps of a complete fusion process is then developed, in order to meet the requirements identified in the first part of the book.

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9781118578636

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Alain Appriou is Research Director at ONERA, the French Aerospace Lab. He is an Emeritus Member of the SEE (French Scientific Society for Electricity and Electronics), and received the Médaille Ampère. He is currently the Deputy Director of the General Scientific Directorate at ONERA, and the Vice-President of the SEE in charge of its Technical Panels. He has previously been responsible for research concerning signal, image, and information processing, complex system development, computing methods, radar techniques, navigation, and guidance. He now coordinates aerospace research. His main personal scientific contribution concerns on the one hand data fusion and signal processing for sensor systems, and on the other hand theoretical developments for uncertainty theories.

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