Automated Survey of Pavement Distress Based on 2D and 3D Laser Images

013589497945064002011PDFTech ReportMBTC DOT 3023DTRT07-G-0021Pavement distressPavement maintenancePavement performanceTechnological innovationsAutomationInspectionLaser beamsCondition surveysResearch HubPavementsMaintenance and repairTechnological innovationsInspectionAutomationArkansasUnited StatesMack-Blackwell National Rural Transportation Study Center (U.S.)Wang, Kelvin C.P.University of Arkansas, FayettevilleMack-Blackwell National Rural Transportation Study Center (U.S.)National Transportation Center (U.S.)NTL-HIGHWAY/ROAD TRANSPORTATION-Pavement Management and PerformanceNTL-HIGHWAY/ROAD TRANSPORTATION-Construction and MaintenanceUS Transportation CollectionDespite numerous efforts in recent decades, most information on pavement surface distresses cannot be obtained automatically, at high-speed, or at acceptable precision and bias levels. This research provided seed funding to produce a functional prototype, and the research team developed a prototype with line lasers and 3D cameras that overcame many existing limitations. The prototype has the capability of obtaining 3D pavement surface models at true 1mm resolution with full-lane coverage, and is capable of conducting real-time analysis on rutting and cracking