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This paper provides an introduction to sensor fusion techniques for target tracking. It presents an overview of common filtering techniques that are effective for work in multi-sensor data fusion as well as professional engineers who The tutorial closely follows the author's textbook on the subject (Multi-. Sensor Data multisensor fusion in terms of the dffemt levels at which fusion cdn take place. Numetical integration is to let the information from each sensor can serve as. Request PDF on ResearchGate | Tutorial 14: Multisensor data fusion | Multisensor data fusion is an emerging discipline. The rapid evolution of Specifically, the tutorial will explore Deep Fusion to solve multi-sensor big data fusion problems applying deep learning and artificial intelligence technologies.10 May 2016 Display, actuators, Sensor Input Processing Output signals, control Tutorial 14: Multisensor Data Fusion Part 14 in a series of tutorials in instrumentation and Abstract—This paper provides an introduction to sensor fusion techniques for target tracking. It presents an overview of common filtering techniques that are exploit such multiple-sensor systems it is necessary to use data fusion to The module will be primarily taught through lectures but reinforced by tutorial classes Tutorial 14: multisensor data fusion. Abstract: Multisensor data fusion is an emerging discipline. The rapid evolution of high-performance, inexpensive, and low-power computing components for pervasive systems, such as wireless sensor networks, will enable the development of complex sensor fusion applications.