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Pavement Management Using Video Imaging Techniques. Phase 1 Final Research Report.

PB87137964

Publication Date	1984
Personal Author	Curphey, D. R.; Fronek, D. K.; Wilson, J. H.
Page Count	90
Abstract	The research is directed at improving the quality and quantity of pavement management system information being used by highway organizations. The feasibility study investigates: (1) the use of a slit sensor for observing pavement surfaces at highway vehicle speeds; (2) image processor algorithms for the detection of pavement distress; (3) pavement scoring procedures best suited to video imaging; (4) pertinent non-video data acquisition requirements. Results have shown that, for highway speeds, a slit type video sensor is not only desirable, but mandatory. Video image processing algorithms have been developed to detect pavement distress. Pavement scoring vectors and non-video data acquisition requirements have been identified.
Keywords	Pavements Maintenance management Highways Algorithms Scoring Defects Cracks Detectors Data acquisition Histograms Imaging Slit sensor
Source Agency	National Science Foundation, Industrial Science and Technology Innovation Division
NTIS Subject Category	50A - Highway Engineering 62F - Pattern Recognition & Image Processing 62B - Computer Software
Corporate Authors	AMI Consultants, Reno, NV.; National Science Foundation, Washington, DC. Div. of Industrial Science
Supplemental Notes	Portions of this document are not fully legible. Sponsored by National Science Foundation, Washington, DC. Div. of Industrial Science and Technological Innovation.
Document Type	Technical Report
NTIS Issue Number	198708

Pavement Management Using Video Imaging Techniques. Phase 1 Final Research Report.

Pavement Management Using Video Imaging Techniques. Phase 1 Final Research Report.
PB87137964

Publication Date	1984
Personal Author	Curphey, D. R.; Fronek, D. K.; Wilson, J. H.
Page Count	90
Abstract	The research is directed at improving the quality and quantity of pavement management system information being used by highway organizations. The feasibility study investigates: (1) the use of a slit sensor for observing pavement surfaces at highway vehicle speeds; (2) image processor algorithms for the detection of pavement distress; (3) pavement scoring procedures best suited to video imaging; (4) pertinent non-video data acquisition requirements. Results have shown that, for highway speeds, a slit type video sensor is not only desirable, but mandatory. Video image processing algorithms have been developed to detect pavement distress. Pavement scoring vectors and non-video data acquisition requirements have been identified.
Keywords	Pavements Maintenance management Highways Algorithms Scoring Defects Cracks Detectors Data acquisition Histograms Imaging Slit sensor
Source Agency	National Science Foundation, Industrial Science and Technology Innovation Division
NTIS Subject Category	50A - Highway Engineering 62F - Pattern Recognition & Image Processing 62B - Computer Software
Corporate Authors	AMI Consultants, Reno, NV.; National Science Foundation, Washington, DC. Div. of Industrial Science
Supplemental Notes	Portions of this document are not fully legible. Sponsored by National Science Foundation, Washington, DC. Div. of Industrial Science and Technological Innovation.
Document Type	Technical Report
NTIS Issue Number	198708