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TRACE – Target Recognition with the Assistance of Artificial Intelligence

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0108
Agency Tracking Number: N18B-033-0037
Amount: $125,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N18B-T033
Solicitation Number: 18.B
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-10-15
Award End Date (Contract End Date): 2019-04-25
Small Business Information
15400 Calhoun Drive Suite 190
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Ms. Tugba Erpek Ms. Tugba Erpek
 Sr. Research Engineer
 (301) 294-4246
Business Contact
 Mark James
Phone: (301) 294-5200
Research Institution
 University of California, Riverside
 Prof. Bir Bhanu Prof. Bir Bhanu
446 Winston Chung Hall, University of California
Riverside, CA 92507
United States

 (951) 827-3954
 Nonprofit College or University

Intelligent Automation Inc. (IAI) proposes the design and implementation of the Target Recognition with the Assistance of Artificial Intelligence (TRACE) system that incorporates classical model-based target classification and identification approaches with data-driven machine learning solutions to improve the target classification accuracy. The outcome of the TRACE systems is a set of machine learning and sensor data fusion algorithms. The key innovation of TRACE is the design of an ensemble of supervised learning architectures where a dedicated neural network is trained for each input sensor system; sensor data fusion algorithms which performs decision-level fusion by incorporating the results of model-based approach with neural network architectures using a probabilistic model; and unsupervised learning architectures that extract features for unknown vessel types thereby facilitating their classification. The performance of TRACE will be extensively tested using both the synthetic data that we generate and publicly available sensor system input data sources.

* Information listed above is at the time of submission. *

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