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目前,轨道交通建设在各大中城市日益兴起,传统的测量技术手段难以快速获取城市轨道交通带状图,而车载LiDAR作为一种新的测量技术,能够实现快速、全面地获取道路两侧的详细地物信息,并且在高程测量上能够达到较高的精度。本文以SSW移动测量系统为硬件平台,采用多种作业方案对郑州市地铁轨道交通线进行带状图测量,针对各方案的高程测量数据,分析GPS信号强度、检校点密度、采集方式对点云高程精度的影响。试验结果表明,采用往返扫描的作业方式,可有效地减小系统误差,提供测量精度;当GPS信号较弱时,采用往返扫描的作业方式,并适当增加检校点密度,也能达到轨道交通带状图高程精度要求。
At present, the construction of rail transit is increasingly emerging in major cities. It is difficult for traditional measurement techniques to obtain the urban rail traffic map rapidly. As a new measurement technology, LiDAR can achieve fast and comprehensive access to both sides of the road Detailed information, and in the elevation measurement to achieve higher accuracy. In this paper, the SSW mobile measurement system as hardware platform, using a variety of operating programs of Zhengzhou Metro rail line measurement chart, elevation data for each program, analysis of GPS signal strength, calibration point density, the collection point to point Impact of cloud elevation accuracy. The experimental results show that the round-trip scanning method can effectively reduce the system error and provide the measurement accuracy. When the GPS signal is weak, the round-trip scanning method is adopted and the density of the calibration points is appropriately increased, Strip chart elevation accuracy requirements.