Automated Placement Optimization and Video Analysis for Unmanned Ground Vehicles
Video sensors provide a wealth of valuable information, including the location, motion, and appearance of military and civilian vehicles, people, and objects in an area of regard. Unmanned ground vehicles (UGVs) provide a platform with characteristics suited for persistent surveillance, including the potential relatively long time on station, good sensor stability, and sensor relocatability. However, manual placement and monitoring of a large network of UGVs would require excessive manpower and data transmission resources. Toyon Research Corporation proposes to develop a suite of automated functions for optimally routing and placing a UGV to maximize sensor coverage of an area-of-interest, ensure communications, and conceal the sensor. In addition, we propose to develop and test automated video analysis methods for sensing anomalous activity and potentially hostile intent. In Phase I, this effort would consist of a data collection and four separate software development efforts that will extend existing Toyon geo-spatial analysis, 3-D model generation, automated routing, and video analysis capabilities to the UGV platform. The results will inform a feasibility assessment and recommended system design.
Small Business Information at Submission:
Michael S. Moore
Senior Staff Analyst
Toyon Research Corp.
6800 Cortona Drive Goleta, CA -
Number of Employees: