Value-based sensor and information fusion

Erik Blasch

doi:10.1117/12.3014177

7 June 2024 Value-based sensor and information fusion

Erik Blasch

Proceedings Volume 13057, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII; 130570G (2024) https://doi.org/10.1117/12.3014177
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

There are many examples, methods, and processes showing the importance of sensor, data, and information fusion. However, there is a need to determine the value added of information fusion in the context of data (e.g., multimodal, amount, and resolution), software (e.g., artificial intelligence/machine learning), hardware (e.g., size, weight, and performance), as well as architectures (e.g., cloud, fog, and edge computing). This paper utilizes the analytical hierarchy process (AHP) to determine the pairwise performance needs among different human-machine information fusion system tradeoffs to show the value added from sensor fusion. The paper examines the potential value added by coordinating deep, active, and reinforcement learning for information fusion systems. Among the information metrics, the combined methods of artificial intelligence learning methods highlight user requirements for accuracy, confidence, and timeliness.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Erik Blasch "Value-based sensor and information fusion", Proc. SPIE 13057, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII, 130570G (7 June 2024); https://doi.org/10.1117/12.3014177

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