Statistics published by the Federal Highway Administration indicate that maintenance and reha- bilitation of highway pavements in the United States requires an expenditure of over $17 billion a year. In conventional visual pavement distress analysis approaches inspectors traverse roads and stop and measure distress objects when they are found. Therefore, the conventional approaches are very costly, time consuming, dangerous, labor intensive, tedious, subjective, have a high degree of variability, are unable to provide meaningful quantitative information, and almost always lead to inconsistencies in distress detail over space and across evaluations.
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