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原文传递 Inexpensive Vision-Based Approach for the Autonomous Detection, Location, and Quantification of Pavement Defects

题名：	Inexpensive Vision-Based Approach for the Autonomous Detection, Location, and Quantification of Pavement Defects
作者：	Becerik-Gerber, B.; Jahanshahi, M. R.
关键词：	Vision-based algorithms##Autonomous detection##Pavement Defects##Location analysis##Quantification analysis##Positioning information##Advanced sensor system##Road surface conditions##
摘要：	This project involves developing a cost-effective, vision-based sensor system for autonomous data acquisition of road surface conditions and for autonomous detection, localization, and quantification of pavement defects. The proposed sensor system provides a large array of information such as vision, depth, inertial, and positioning information, which can be efficiently used for detecting and localizing defects on pavements, on an offline basis, at a lower cost. The sensor system can be used periodically to gather data that can be maintained in a main server. The proposed system provides useful pavement defect information at a fraction of the cost of an advanced sensor system.
总页数：	45
报告类型：	科技报告