This solicitation closed on August 19, 2026
View current Department of Defense opportunities →Event-Based Sensing Hardware and Algorithms for Navigation
AI Overview
This RFP seeks event-based sensing hardware and neural network algorithms to enable independent, GPS-denied navigation for military vehicles and satellites. The technology must integrate with existing inertial systems, match GPS-level accuracy, and support real-time adaptive decision-making in dynamic environments.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
The proposed initiative focuses on the development of event-based sensing technology that utilizes advanced neural network models to enhance the navigation capabilities of kill vehicles and satellites. This system aims to operate independently of GNSS yet synergistically with existing inertial navigation systems (INS) or units, providing critical inputs that improve overall navigational accuracy and responsiveness in dynamic environments. By leveraging neural networks, the technology will proces...
Change History
Event-Based Sensing Hardware and Algorithms for Navigation
Status changed from Open to Closed after topic disappearance
Event-Based Sensing Hardware and Algorithms for Navigation
Summary of Q&A Changes:
Added 3 new Q&As clarifying critical technical requirements:
Q1 (Updated): Emphasized that successful solutions require tightly coupled hardware-software integration across optical sensors, compute, and storage—not single-component dominance. Confirmed SWIR event-sensor development is in-scope despite immaturity, but all work must use COTS hardware within SBIR budget/PoP constraints (no fundamental sensor R&D).
Q2 (New): Addressed scope boundaries—RF-based or non-visual sensing approaches are out-of-scope; solutions must be vision-based event cameras. Clarified that event cameras are preferred over star trackers due to high dynamic range and resistance to motion blur during high-speed maneuvers.
Q3 (New): Provided five critical architecture clarifications:
- Platform-agnostic, MOSA-compliant designs prioritized (not THAAD-specific)
- System must work seamlessly across both endo- and exo-atmospheric regimes
- Primary deliverable: discrete GNSS-equivalent Position/Velocity/Time (PVT) state vectors
- System provides absolute position updates only; platform integrator handles IMU fusion via loosely-coupled EKF
- Phase I modeling should anchor to terminal interceptor or generalized stress scenarios for highest impact
Event-Based Sensing Hardware and Algorithms for Navigation
Status changed from Pre-Release to Open
Event-Based Sensing Hardware and Algorithms for Navigation
This Q&A clarifies that solutions must prioritize endo/exo-atmospheric interceptors (not LEO satellites as primary focus), algorithmic approaches using event-based sensors are encouraged, and Phase I feasibility must be supported by modeling data—whether physics-based simulation, mathematical, or experimental.
Event-Based Sensing Hardware and Algorithms for Navigation
New opportunity: Event-Based Sensing Hardware and Algorithms for Navigation
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