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Three dimensional detection ranging and mapping of utilities and underground infrastructure at intersections using step-frequency groung penetrating radar without traffic control

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: DTRT57-12-C-10068
Agency Tracking Number: DTRT57-12-C-10068
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 122FH5
Solicitation Number: DTRT5712RSBIR2
Timeline
Solicitation Year: 2012
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-09-12
Award End Date (Contract End Date): 2013-03-12
Small Business Information
3504 Littledale Road
Kensington, MD 20895-
United States
DUNS: 6470249
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Nicolas Gagarin
 President
 (301) 929-0964
 nicolas.gagarin@starodub.com
Business Contact
 Nicolas Gagarin
Title: President
Phone: (301) 929-0964
Email: nicolas.gagarin@starodub.com
Research Institution
N/A
Abstract

A method to detect, locate, and map utilities and underground infrastructure is proposed at traffic speeds based on recent advances in step-frequency ground penetrating radar (SFGPR). Recent work by the proposed research team has already demonstrated imaging of subsurface civil infrastructure elements such as pavement structure and inductive loop detectors embedded in the pavement.

The proposed research plan considers both theoretical and deployment constraints. The extent of penetration of the three-dimensional SFGPR signal into the roadway is estimated for the full Nibandwidth of 150MHz to 3.05GHz that considers the material properties of the pavement base, and sub-base layers with maximum detail near the surface with higher frequencies and deeper penetration below the pavement at lower frequencies. Knowing the signal strength at receiver will help the detection and mapping. This ability to estimate the operational limits of the proposed hardware combined to the unique data collection and data reduction procedures will produce reliable and verified underground features ready for classification and visualization. Advanced processing algorithms based on a complete theoretical foundation will be developed to measure the location and size of the buried assets in three dimensions while overcoming limitations of existing approaches near the surface, within the first ten centimeters.

* Information listed above is at the time of submission. *

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