High Clutter Virtual Objects for Modeling and Simulation
AI Overview
This RFP seeks a modeling and simulation tool for generating high-fidelity, thermally-accurate virtual EO/IR objects—such as clouds and debris fields—to enhance developmental testing of missile warning and infrared countermeasure systems. The solution must support real-time scene generation across multiple resolutions and frame rates for realistic survivability assessments in cluttered battlefield environments.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
Developmental and Operational Testing (DT/OT) of Missile Warning Systems (MWS), Infrared Countermeasures (IRCM), and Intelligence, Surveillance, and Reconnaissance (ISR) systems are currently limited to in-flight tests or the use of recorded flight video in digital system models (DSM). These methods do not adequately replicate the complexity of battlefield, industrial, and urban environments, especially under high-clutter, thermally dynamic conditions. To enhance system survivability and test r...
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