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The IMM is an estimator which can either be used by MHT or JPDAF. IMM uses two or more Kalman filters which run in parallel, each using a different model for target motion or errors. The IMM forms an optimal weighted sum of the output of all the filters and is able to rapidly adjust to target maneuvers.
Interacting multiple model (IMM), an estimator used in radar tracking Injection molding machine Integrated Management Module , an IBM remote system management technology
Of the KF based MMs, the interacting MM (IMM) is generally considered the state-of-the-art tracking model and usually the method of choice. [22] [23] Since two model IMMs are most often used, [24] consider the following two models: 2nd and 3rd order KFs.
Yaakov Bar-Shalom was born in Romania and he emigrated to Israel with his family at the age of nineteen. [1] He earned his Bachelor's and master's degree both in Electrical Engineering from Technion in Haifa, Israel.
In control theory, multiple model control is an approach to ensure stability in cases of large model uncertainty or changing plant dyanamics. It uses a number of models, which are distributed to give a suitable cover of the region of uncertainty, and adapts control based on the responses of the plant and the models.
Multimodal human-computer interaction refers to the "interaction with the virtual and physical environment through natural modes of communication", [1] This implies that multimodal interaction enables a more free and natural communication, interfacing users with automated systems in both input and output. [2]
Interacting with dogs in various activities could strengthen activity in brain areas associated with relaxation and focus, a new study has found. Interacting with dogs may affect multiple areas of ...
Interaction effect of education and ideology on concern about sea level rise. In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the effect of one causal variable on an outcome depends on the state of a second causal variable (that is, when effects of the two causes are not additive).