The applicability of Mobile Laser Scanning (MLS) systems continue to prove their worth in route corridor mapping due to the rapid,\udcontinuous and cost effective 3D data acquisition capability. LiDAR data provides a number of attributes which can be useful for\udextracting various road features. Road edge is a fundamental feature and its accurate knowledge increases the reliability and\udprecision of extracting other road features. We developed an automated algorithm for extracting left and right edges from MLS data.\udThe algorithm involved several input parameters which are required to be analysed in order to find their optimal values. In this\udpaper, we present a detailed analysis of the dimension parameters of input data and raster cell in our algorithm. These parameters\udwere analysed based on temporal, completeness and accuracy performance of our algorithm for their different sets of values. This\udanalysis provided the estimation of an optimal values of parameters which were used to automate the process of extracting road\udedges from MLS data.
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