DANIEL H WAGNER ASSOCIATES INC — Department of Defense SBIR Phase I: N161-004
DANIEL H WAGNER ASSOCIATES INC — SBIR Phase I award from Department of Defense.
- Amount
- $79,985
- Agency
- Department of Defense · Navy
- Program / Phase
- SBIR · Phase I
- Topic
- N161-004
- Solicitation
- 2016.1
- NAICS
- —
- Place of performance
- PA
- Period
- 2016-06-01 → 2016-12-19
Description
The goal of this Traffic Flow and Feature Aided Optimized Tracking (TFOT) project is to develop an efficient and effective target tracker that, using all available data, in particular traffic flow data and non-kinematic features/attributes, can: <br>(1) Generate more persistent, accurate, and actionable tracks, and <br>(2) Be relatively easily integrated into existing airborne (or UAS control) systems. <br>A key enabler for these capabilities is the ability of the advanced (1) Kalman Filter algorithms, (2) multiple hypothesis data association, and (3) Bayesian Network (BN)-based Feature Aided Track Association (FATA) [3] algorithms in TFOT to effectively utilize:<br><span style='mso-spacerun:yes'></span>Whatever intelligence is available concerning normal traffic flow in the area of interest, and<br><span style='mso-spacerun:yes'></span>Any available sensor non-kinematic (i.e., feature/attribute) data<br> in order to improve data association accuracy, and thus target tracking.