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Abstract:
We propose a system approach to adaptive multimodal sensor designs. This approach is based on the integration of tools for the physics-based simulation of complex scenes and targets, sensor modeling, and multimodal data exploitation. The goal is to reduce development time and system cost while achieving optimal results through an iterative process that incorporates simulation, sensing, processing and evaluation. A Data Process Management Architecture (DPMA) is designed, which is a software system that provides a team development environment and a structured operational platform for systems that require many interrelated and coordinated steps. As a case study, we use an effective peripheral-fovea design as an example. This design is inspired by the biological vision systems for achieving real-time target detection and recognition with a hyperspectral/range fovea and panoramic peripheral view. Under the principle of the system approach and performance-driven sensing, a real multimodal human signature detection sensing design is proposed and a test prototype is developed to capture visual, audio and range information at a large distance
| Limitations: |
 APPROVED FOR PUBLIC RELEASE |
| Description: |
Final rept. 1 Apr 2008-30 Nov 2009 |
| Pages: |
30 |
| Report Date: |
Feb 2010 |
| Contract Number: |
FA9550-08-1-0199 FA95500810199 |
| Report Number: |
A265825 |
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