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Semi-Automated 3D Geo-coding of Large Urban Structures for Deployment of Effective Emergency Response and Communication

Award Information

Award #
2009-SQ-B9-K009
Funding Category
Competitive
Location
Awardee County
Mecklenburg
Congressional District
Status
Closed
Funding First Awarded
2009
Total funding (to date)
$399,995

Description of original award (Fiscal Year 2009, $399,995)

Among other purposes, the American Recovery and Reinvestment Act provides funds to preserve and create jobs and promote economic recovery and to provide investments needed to increase economic efficiency by spurring technological advances in science and health. In addition to supporting the goals of the Recovery Act, this project also supports the purposes of the Byrne Justice Assistance Grant Program by helping to increase the economic efficiency and effectiveness of law enforcement activities. This project will address law enforcement technology requirements and priorities in the areas of ' officer safety, public safety, decision-making, and information sharing. In consideration of the goals, objectives, and intended impact of the Recovery Act, priority consideration has been given to proposals that demonstrate the potential for increasing law enforcement efficiency and effectiveness and/or support job creation or preservation on an expedited time frame. This project will develop new tools for 3D geo-coding technology for use in large urban structures. Accurate spatial information within these structures and an effective communication capability can significantly enhance timely response to emergencies. The project will develop new and highly scalable methods to rapidly process building geometry data that will then be integrated with an interactive visual interface that is designed to work in a desktop environment as well as mobile (hand-held) devices. The project meets the purposes of the American Recovery and Reinvestment Act by helping to preserve research positions while also furthering technological advancement, specifically in the field of geospatial analysis.

ca/ncf

Date Created: September 22, 2009