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This book concerns sensor data fusion, target tracking, and state estimation in distributed sensor system applications by means of centralized or decentralized fusion methods. This includes multi sensor fusion, target tracking, distributed Kalman Filter, and track-to-track fusion.
About the author
Dr. Felix Govaers received his Diploma in Mathematics and his Ph.D. with the title "Advanced Data Fusion in Distributed Sensor Applications" in Computer Science, both at the University of Bonn, Germany. Since 2009 he has worked at Fraunhofer FKIE in the Sensor Data Fusion and Information Processing department where he led the research group "Distributed Systems" for three years. Since 2017 he is the deputy head of the department. The research of Felix Govaers is focused on track-to-track fusion, state estimation in non-linear applications, and quantum algorithms for information fusion. This includes quantum optimization methods, tensor-decomposition techniques, processing of delayed measurements, the Distributed Kalman filter, and track correlation mitigation. He is also interested in advances in state estimation such as particle flow and homotopy filters and the point process theory approaches.
Felix Govaers is an active member of the IEEE Aerospace and Electronic Systems Society (AESS) where he serves as an Associate Editor and is the financial chair of the Germany Section. He also is an AESS Distinguished Lecturer and Short Course Instructor.As an elected member of the Board of Directors (BoD) for the International Society for Information Fusion (ISIF), he is actively contributing to the future of the information fusion community. At the University of Bonn, he serves as a lecturer since 2014 with seminars, labs, and lectures on distributed data fusion systems and quantum algorithms for data fusion.
Summary
This book concerns sensor data fusion, target tracking, and state estimation in distributed sensor system applications by means of centralized or decentralized fusion methods. This includes multi sensor fusion, target tracking, distributed Kalman Filter, and track-to-track fusion.
