Information Processing & Fusion (ARO): Quality-of-Information-Aware Data Collection and Analysis for Active and Collaborative Sensing
Abstract
The objective of this research is to create a new model that can accurately quantify the Quality of Information (i.e., correctness of sensory measurements, sensor reliability, and confidence of estimations) in collaborative sensing. The project has three research tasks to achieve the overall research objective. Task 1: Jointly estimate sensor reliability and measurement correctness without knowing either of them a priori using a principled analytic framework. Task 2: Accurately compute confidence bounds of estimations using well-grounded estimation theoretic results.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1610388
Entities
People
- Dong Wang
Organizations
- Army Contracting Command
- United States Army
- University of Notre Dame