Characterization of Urban Traffic patterns in Intermittently Sampled Airborne Wide-Area Low-Altitude Full-Motion Imagery, for Intelligent Sensor Mobility Management
Abstract
The motivation for this project is to study behavioral models and algorithms to enhance situational awareness and security for urban combat and peacekeeping operations. It will address issues such as strategies to mitigate occlusions and how to improve sensor range and ability to detect movement in shadows.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 23, 2016
- Source ID
- FA95501510141
Entities
People
- Dario Azevedo
Organizations
- Air Force Office of Scientific Research
- United States Air Force