Active-Vision Control Systems for Complex Adversarial 3-D Environments
Final rept. 1 July 2007-31 Dec 2008
GEORGIA INST OF TECH ATLANTA SCHOOL OF AEROSPACE ENGINEERING
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This project has included development of methods that utilize 2-D and 3-D imagery e.g., from visual, FLIR, LADAR, acoustic to enable aerial vehicles to autonomously detect and prosecute targets in uncertain complex 3-D adversarial environments, including capabilities and approaches inspired by those found in nature, and without relying upon highly accurate 3-D models of the environment. The new capabilities of autonomous sensing and control enable UAVmunition operations in a clandestinecovert manner in close proximity to hazards, structures, andor terrain and in uncertainadversarial 3-D environments. Furthermore, the team performed a productive flying testbed activity as part of the program. This ensures that the methods are sound in the sense that they are l implementable in real-time, 2 capable of practical use in the field, and 3 based on realisticachievable sensor capabilities. This project is a Multidisciplinary University Research Initiative MURI.
- Electrical and Electronic Equipment
- Infrared Detection and Detectors