SBIR/STTR Research Award

PAVEMENT MANAGEMENT USING VIDEO IMAGING TECHNIQUES

Award identifier a8a6707f2e4d2e5107629aa2d8da0ee0e643bac676cc7fc19b3ca6fd41e0b939Awarding agency National Science Foundation

Award amount

$200,000

Program and phase

SBIR · Phase II

Award year

1986

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Ami Consultants
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THE ADVENT OF AVAILABLE HIGH SPEED IMAGE PROCESSING TECHNIQUES WILL PROVIDE TREMENDOUS DATA PROCESSING BENEFITS OVER CURRENT HAND TECHNIQUES IN PAVEMENT MANAGEMENT. THE LONG AND COSTLY FRAME BY FRAME ANALYSIS USING PHOTOGRAPHIC TECHNIQUES OR VISUAL OBSERVATION OF EXISTING ROAD PAVEMENT SURFACES CAN BE REDUCED TO A HIGHLY ORGANIZED DATA BASE FOR EFFECTIVE AND MUCH NEEDED COST EFFECTIVE PAVEMENT MANAGEMENT SYSTEMS. PAVEMENT CONDITIONS CAN BE EASILY MONITORED THEREBY PROVIDING AN ACCURATE TECHNIQUE FOR PERFORMANCE AND COST PREDICTIONS, BUDGET REQUIREMENTS TO MAINTAIN THE ROADWAY SYSTEM, AND THE ESTABLISHMENT OF MAINTENANCE PRIORITIES. THE RESEARCH OBJECTIVES ADDRESSED HEREIN ARE TO INVESTIGATE THE FEASIBILITY OF USING A SLIT SENSOR FOR OBSERVING PAVEMENT SURFACES, DETERMINATION OF PROCESSOR ALGORITHMS FOR THE DETECTION OF PAVEMENT DISTRESS,DETERMINATION OF SCORING PROCEDURES BEST SUITED TO VIDEO IMAGING AND DETERMINATION OF THE PERTINENT DATA LOGGING REQUIREMENTS. SUCCESSFUL RESEARCH IN THESE AREAS WILL RESULT IN THE CONTINUED DEVELOPMENT OF AN ACCEPTABLE PAVEMENT MANAGEMENT SYSTEM.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.