Third-generation autonomous target acquisition using passive 3D reconstruction and model matching

Keith Miller; James C. Lundgren; Jesse Bennett

doi:10.1117/12.359965

24 August 1999 Third-generation autonomous target acquisition using passive 3D reconstruction and model matching

Keith Miller, James C. Lundgren, Jesse Bennett

Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/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 21^st 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.

Citation Download Citation

Keith Miller, James C. Lundgren, and Jesse Bennett "Third-generation autonomous target acquisition using passive 3D reconstruction and model matching", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359965

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available