SBIR/STTR Research Award

Airborne ISR Sensors Fusion Algorithms

Award identifier c7f45666b8f50c75f4829a75ceb2733e2986bf4be0e8dc2ffea234db5881fdfaAwarding agency Department of Defense · Army

Award amount

$149,999

Program and phase

SBIR · Phase I

Award year

2017

Award details

Awarding agency: Department of Defense
Branch: Army
Recipient company: TOYON RESEARCH CORPORATION
Proposal award date: 2017-09-13
Contract end date: 2019-01-16
UEI: PK1CB3L39XX8
Solicitation number: 2017.1
Topic code: A17-049

Research abstract

Intelligence products generated from sensors currently deployed on U.S. Army Airborne ISR platforms only utilize data from a single sensor modality. As such these products are limited in both current capability and the ability to extend to new intelligence missions. Toyon Research Corporation proposes to develop and implement advanced sensor fusion algorithms for EO/IR and 3D point cloud data. The algorithms leverage measurement data fused in the image and 3D space to perform Aided Target Recognition/Detection (AiTR/AiTD) as well as persistent target tracking. Toyon proposes to utilize convolutional neural networks (CNNs) trained to detect specific objects of interest, such as military vehicles, in the fused data.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

601 SBIR/STTR records share this UEI (1986–2026). Reported award amounts total $249,287,075. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Commerce, Department of Homeland Security, National Aeronautics and Space Administration, Department of Transportation, Department of Energy