YIP:DYNAMIC DATA DRIVEN C-SPAN: COGNITIVE SENSING, PERCEPTION, AUTONOMY, AND NAVIGATION
Abstract
The proposed PNT framework addresses the following challenges simultaneously: (1) minimal a priori information about the environment, (2) imperfect models, (3) optimal, computationally efficient nonlinear, colored, non-Gaussian information fusion, and (4) multi-objective, adaptive autonomous decision making under uncertainty. This project is structured around five questions in two main thrusts: (i) Simultaneous tracking and navigation (STAN): (a) How does uncertainty propagate through different spaces? (b) How to efficiently solve large-scale integer optimization problems for megaconstellations? (c) What adaptive, optimal, computationally efficient filter should be developed with guaranteed performance and filter stability? (ii) Cognitive sensing and context-aware autonomy: (d) How to cognitively sense the environment on-the-fly and extract information of interest? (e) How to achieve symbiosis between cognitive sensing and context-aware autonomy to ensure mission success? This research will endow future Air Force platforms and forces with cognitive sensing and context-aware autonomy capabilities, ensuring mission success in contested and unknown environments
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 20, 2023
- Source ID
- FA95502210476
Entities
People
- Zaher M. Kassas
Organizations
- Air Force Office of Scientific Research
- Ohio State University
- United States Air Force