SBIR/STTR Research Award

Target on the Move and Dynamic Retargeting for Enhanced Lethality

Award identifier c5fdef4531147cd6d7390a33fbc68d68492e5e8f772c0c9c8e18dd3a19e5040bAwarding agency Department of Defense · Army

Award amount

$167,251

Program and phase

SBIR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
ESC AEROSPACE US, INC
Proposal award date
2023-08-02
Contract end date
2025-06-19
UEI
SUR9AK1VMNM1
Solicitation number
22.2
Topic code
A22-001

Research abstract

Our proposed technology will allow reprioritization of targets, preserve concealment of the munition in a GPS-denied environment, and allow for information fusion between multiple sensors and databases to enable geolocation for fire control and battle management systems in multiple engagement scenarios from drone swarms, vehicles, and maritime vessels in a kill-chain. The technology will be designed to allow dynamic retargeting in multiple denied operational environments from a vehicle mounted or Forward Operating Base (FOB) deployed system. esc Aerospace has been developing a concept for Visual Aided PNT and Enhanced Situational Awareness. This includes the integration of existing high TRL components to enable: Operations in total GPS denial Real-Time terrain mapping Applied AI for autonomous object ID, positioning and tracking Information interoperability Secure communications with other data sources (i.e. transnational targeting information, intelligence targeting information, Satellite/Airborne Imagery, etc.) Secure integration with other DOD/IC Community Compliance with open systems standards (MOSA) to enable “plug and play” integration Our Low Size, Weight and Power and cost (SWaP-C) enables us to meet growing demand in markets that are currently underserved (including small UAS, personal (dismounted), precision weapons, etc.).  Our robust technology roadmap has been designed to continuously add reliability/accuracy for our existing customers and additional commercial/government markets. We have been successfully adding the use of LEO satellite signals (under AF LCMC Phase II SBIR), Visual Aided PNT through an AFWERX SBIR co-sponsored by the Air Force and the Army, Network Assisted PNT (Army Phase 1 SBIR) to enable accurate PNT in total GPS denial. Additionally, we are currently working to develop a chip size Ultra-Low Power Timing Circuit that is a critical technology enabler for PNT and many other applications that require accurate time when GPS is not available (secure communications, monitoring, cyber security, IoT, edge computing, etc.) With our technology partners (i.e. Lockheed Martin and Photon-X) our concept enables: Passive targeting/ranging that use COTS polarized light sensors Shape-based 3D-AI solutions for ISR&T including passive identification, tracking, and ranging, prioritization algorithms including swarms, and extraction of targets from cluttered backgrounds. Highly scalable, low SWaP, near IR visible and LWIR shape and surface machine vision, learning, and identification algorithms which are versatile in identifying, tracking, and ranging objects, people, and defects Vision-based positioning for aircraft - Simultaneous Localization & Mapping (SLAM) engine Mapping products and visualization in real-time as you fly

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

12 SBIR/STTR records share this UEI (2018–2025). Reported award amounts total $3,546,505. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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