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Subsidence Detection for Urban Roads Using Mobile Laser Scanner Data
Pavement subsidence detection based on point cloud data acquired by mobile measurement systems is very challenging. First, the uncertainty and disorderly nature of object points data results in difficulties in point cloud comparison. Second, acquiring data with kinematic laser scanners introduces errors into systems during data acquisition, resulting in a reduction in data accuracy. Third, the high-precision measurement standard of pavement subsidence raises requirements for data processing. Indoi:10.3390/rs14092240 fatcat:jm4ehbwflrg6dn6aavykeivwbi