Mover and Alert Detection and Hardware Accelerated Target Tracking using Efficient Resources (MAD-HATTER)

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$739,224.00
Award Year:
2013
Program:
SBIR
Phase:
Phase II
Contract:
N00014-13-C-0248
Award Id:
n/a
Agency Tracking Number:
N121-084-0073
Solicitation Year:
2012
Solicitation Topic Code:
N121-084
Solicitation Number:
2012.1
Small Business Information
625 Mount Auburn Street, Cambridge, MA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
115243701
Principal Investigator:
Ross Eaton
Senior Scientist
(617) 491-3474
reaton@cra.com
Business Contact:
Mark Felix
Contracts Manager
(617) 491-3474
mfelix@cra.com
Research Institute:
n/a
Abstract
The Navy is developing and deploying day/night Wide Area Airborne Sensor (WAAS) payloads for tactical UASs, which can enable intelligence, surveillance, and reconnaissance (ISR) tasks to provide valuable situational awareness over large areas. However, the size, weight, and power constraints of tactical UAS platforms make onboard WAAS ISR processing impossible currently. Our Mover and Alert Detection and Hardware Accelerated Target Tracking using Efficient Resources (MAD-HATTER) solution is an integrated hardware/software system designed to process WAAS imagery in real-time onboard a UAS. MAD-HATTER employs a revolutionary computing hardware architecture which uses slightly reduced precision arithmetic to offer several orders of magnitude greater efficiency over conventional processors in terms of throughput vs. power consumption. In Phase I, we determined that MAD-HATTER will run mover detection on Singular"s accelerator with three orders of magnitude improvement in speed/power compared to a CPU. In testing, MAD-HATTER achieved high probability of detection and low false alarm rate using both floating point and reduced precision arithmetic. During Phase II, we will develop a full-scope MAD-HATTER prototype using emulated hardware and optimized tracking software. We will extend MAD-HATTER"s ISR capabilities to include classification and multiple target tracking.

* information listed above is at the time of submission.

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