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激光雷达测量系统的现场精度评价方法 被引量:4

A Method of Field Precision Evaluationfor Lidar Measurement System
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摘要 针对激光雷达测量系统在大尺寸测量空间下的高精度、高效率的需求,对测量任务开始前需要进行的现场精度评价进行方法研究。通过对测量距离的控制,数据处理方法的改善以及测量网的系统站位设置等,实现了测量任务的精度预评估。首先通过蒙特卡洛仿真实验确定系统的合适测量距离,然后利用多站位数据融合技术对测量结果进行优化。根据国际标准的量值传递原则设计评价准则,确定了单站位和多站位两种现场精度评价方法。最后在实际测量现场中进行精度标定实验,验证方法的有效性。实验数据表明单点测量误差可以根据测量要求的不同,通过改变测量距离来控制。转站后的公共点误差通过多站位数据融合技术最大可以将误差缩小54%,证明方法具有理论正确性和实际可行性。 Aiming at the demand of high precision and high efficiency of lidar measurement system in large size measurement space,the method of field precision evaluation before the measurement task starts is studied.Through the control of measuring distance,the improvement of data processing method and the system station setting of measuring network,the precision pre-evaluation of measuring task is realized.Firstly,the ideal measuring distance of the system is determined by Monte Carlo simulation experiment;and then the measurement results are optimized by using multi-station data fusion technology.According to the principle of value transfer of international standard,the evaluation criteria are designed;and two field precision evaluation methods,single station and multi-stationare determined.Finally,the accuracy calibration experiment is carried out in the actual measurement field to verify the effectiveness of the method.The experimental data show that the single point measurement error can be controlled by changing the measurement distance according to the different measurement requirements.The common point error after the transfer can be reduced by 54%by multi-station data fusion technology.It is proved that the method has theoretical correctness and practical feasibility.
作者 朱峻可 李丽娟 林雪竹 ZHU Jun-ke;LI Li-juan;LIN Xue-zhu(School of Optoelectronic Engineering,Changchun University of Science and Technology,Changchun 130022)
出处 《长春理工大学学报(自然科学版)》 2021年第1期28-35,共8页 Journal of Changchun University of Science and Technology(Natural Science Edition)
基金 吉林省科技发展项目(20170521003HJ)。
关键词 激光雷达 蒙特卡洛法 多站位数据融合 现场精度评价 不确定度 lidar Monte Carlo method multi-station data fusion field precision evaluation uncertainty
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