SBIR/STTR Research Award

Tactical Sensor Open Standards Integration

Award identifier c179838fc11f12922c56cc5ea05bf8990dc8cf3ba3899624c903c4477db8243bAwarding agency Department of Defense · Special Operations Command

Award amount

$747,000

Program and phase

SBIR · Phase II

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
Special Operations Command
Recipient company
BOTTS INNOVATIVE RESEARCH LLC
Proposal award date
2021-03-24
Contract end date
2022-04-14
UEI
LKTSKKN2K687
Solicitation number
20.2
Topic code
SOCOM202-001

Research abstract

Botts Innovative Research Inc (Botts-Inc) proposes to develop, install, and demonstrate a prototype system determined to be the most feasible solution during the Phase I feasibility study, with priority placed on the detailed tasks identified in the Phase II Statement of Objectives. This prototype will enable the integration of all Hyper Enabled Operator (HEO) Sensors, Robots and Things into all SOCOM Mission Command System (MCS) Common Operating Pictures (COP) at every echelon, vertically and horizontally, in a way that allows for the maximal integration of Artificial Intelligence/Machine Learning/Computer Vision (AI/ML/CV). This can help HEOs to orient themselves (through situational awareness) in their immediate tactical/operational/strategic setting, such that they can make informed decisions in a time dominant manner, enabling them to take decisive action while overcoming the problem of cognitive overmatch. Essential to this vision is the seamless integration of airborne Full Motion Video (FMV) Sensors with 3D terrain data, and the use of FMV and other Sensors to rapidly and continuously generate and update our 3D characterization of the SOF Battlespace. With the proliferation of FMV and other kinds of sensors, projected atop and continuously improving an increasingly high resolution 3D terrain model, the opportunity for cognitive overmatch is high. To render the additional Sensor data more useful rather than more overwhelming, we propose to prototype a HEO architecture that will rely on more autonomous and more intelligent components and workflows. We see an opportunity to enable HEOs to embrace the benefits of these emergent Sensor technologies, to tighten the OODA Loop, and reduce/eliminate cognitive overmatch. We also see an opportunity to ensure that the MCS COP at every echelon shares in this augmented situational awareness and the benefits automation can bring to mission command. Based on our existing work done with SOFWERX and PEO Strategic Reconnaissance, as well as our SBIR Phase I Feasibility Study, Botts-Inc proposes to extend and implement the open source, open standards based. OpenSensorHub (OSH) (www.OpenSensorHub.org) to demonstrate the “art of the possible” as it relates to the integration of Sensors, Things and Robots in support of HEOs, their units, and their mission command, to provide battlespace awareness at the tactical, operational, and strategic level. This will include the Puma and quadcopter FMV sensor integration that has already been completed, and the demonstration of an OSH based architecture for converting FMV orbits into high resolution three dimension (HR3D) terrain data at the tactical edge. In support of a SOCOM PEO SDA’s Modular Open System Architecture (MOSA) vision, this solution is based on re-usable, open source code and integrations, based on existing open standards, that are already being demonstrated in SOCOM Technical Experiments with already fielded SOF Sensor systems.

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

2 SBIR/STTR records share this UEI (2020–2021). Reported award amounts total $925,880. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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