Real Time Enhanced Fine Tracking in Directed Energy Applications
AI Overview
This RFP seeks development of real-time 3D imaging and tracking algorithms for directed energy systems to improve aimpoint maintenance on low-flying targets in cluttered environments. The solution must process complex 3D imagery efficiently enough to operate at high framerates while compensating for atmospheric disturbances.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
Current tracking capabilities in DE utilize 2D imagery. Low flying targets against cluttered backgrounds (e.g., drones) present a challenging tracking environment for track algorithms that leverage 2D information alone. A current tracking algorithm might use something like a Fitts correlation tracker [2], which correlates features in the scene with a known template of the target. This requires target identification followed by reference to a look-up table to determine the proper template to use ...
Change History
Real Time Enhanced Fine Tracking in Directed Energy Applications
New opportunity: Real Time Enhanced Fine Tracking in Directed Energy Applications
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