Uncertainty Theories and Multisensor Data Fusion

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Neuware - Combining multiple sensors in order to better grasp a tricky, or even critical, situation is an innate human reflex. Indeed, humans became aware, very early on, of the need to combine several of our senses so as to acquire a better understanding of our surroundings when major issues are at stake. On the basis of this need, we have naturally sought to equip ourselves with various kinds of artificial sensors to enhance our perceptive faculties. The association of multiple heterogeneous sensors provides a reliable and efficient situation assessment in difficult operational contexts, but imperfect local observations need to be managed in a suitable way (uncertainty, imprecision, incompleteness, unreliability, etc.). The theories of uncertainty make it possible to benefit from such information, but the implementation of these theories requires specific developments to meet the needs of multisensor data fusion. Bestandsnummer des Verkäufers 9781848213548

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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.