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High-Level Information Fusion (HLIF) has been of considerable interest to the fusion community ever since the development of the fusion process models. The low-level versus high-level distinction was made evident in the seminal text on the subject by Waltz and LIinas, Multisensor Data Fusion , as shown in Figure 1.
A state transition data fusion model is introduced as an extension of the dominant sensor fusion paradigm to provide a unification of both sensor and higher-level fusion
High-Level Information Fusion (HLIF) is a relatively new exploration of methods in the last decade. The discussion will address the issues between low-level (signal processing and object state estimation and characterization) and HLIF (control, situational understanding, and relationships to the environment). From a series of efforts in identifying the main… (More)
The state transition data fusion (STDF) model is an extension of the dominant sensor fusion paradigm to provide a unification of both sensor and higher-level fusion. Maritime domain awareness (MDA) is the problem of situation awareness in the maritime domain. This paper outlines an application of the STDF model to perform automated situation assessments for… (More)
The goal of the High-Level Information Fusion (HLIF) Panel Discussion is to present contemporary HLIF advances and developments to determine unsolved grand challenges and issues. The discussion will address the issues between low-level (signal processing and object state estimation and characterization) and high-level information fusion (control,… (More)
When designing a higher-level fusion system the designer must choose between options, and in doing so confronts a number of tradeoffs. This paper outlines some of those options and the tradeoffs that those options involve.