24 August 1999 Third-generation autonomous target acquisition using passive 3D reconstruction and model matching
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Proceedings Volume 3718, Automatic Target Recognition IX; (1999); doi: 10.1117/12.359965
Event: AeroSense '99, 1999, Orlando, FL, United States
Abstract
Third Generation Automatic Target Acquisition (ATA) technology must meet three important design criteria to be viable for 21st Century Missile Applications: (1) it must be robust to sensor and signature variations, (2) it must solve the geometric distortion problems resulting from different reconnaissance and missile sensor perspectives, and (3) it must be extremely fast, extremely intuitive, and extremely flexible to mission plane. This paper describes an approach under development at Raytheon Systems Company, which meets these requirements for a large class of targets. The approach uses passive reconstruction of key scene features in real-time to produce a 3D scene description. This description can then be manipulated to correspond to the mission planning perspective and matched in that domain. The acquisition algorithm seamlessly transitions to track once a lock on has been established. We will describe our approach from mission planning to 3D terminal aimpoint placement and demonstrate algorithm performance in both closed-loop synthetic and open- loop captive flight test environments. We will also discuss extensions of this algorithmic approach to other sensor types (primarily LADAR) and additional target sets.
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Keith Miller, James C. Lundgren, Jesse Bennett, "Third-generation autonomous target acquisition using passive 3D reconstruction and model matching", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359965; https://doi.org/10.1117/12.359965
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KEYWORDS
Missiles

3D acquisition

Sensors

3D modeling

3D metrology

3D image processing

Detection and tracking algorithms

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