SBIR/STTR Research Award

Edge AI Change Detection on UAS

Award identifier a87f59800a5314f194d91723408bce49fbb28b354ef2c4f5506e8edb07b192c0Awarding agency Department of Defense · Air Force

Award amount

$699,112

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
AEROCINE VENTURES, INC.
Proposal award date
2021-06-07
Contract end date
2022-08-08
UEI
MKEQRZX8BE53
Solicitation number
X20.3
Topic code
AF203-DCSO1

Research abstract

Change detection is the process of identifying differences in the state of a region by observing it at different times. Multitemporal Remote Sensing (RS) data, such as satellite and aerial imagery provide abundant information to identify structural differences in a specific area across a window of time. However, manual inspection of the high volume of data produced by RS sources is slow and error-prone, and existing solutions for automatic change detection struggles to capture small changes in buildings and terrain.The main goal of this R&D effort is to design a UAS change detection tool with advanced AI and state estimation capabilities allowing for the georeferenced localization and classification of changes in structure and terrain by comparing FMV data with a reference 3D map

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

6 SBIR/STTR records share this UEI (2020–2024). Reported award amounts total $5,765,540. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

Agency intelligence

Department of Defense

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