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GNSS失锁状态下车载移动测量点云数据处理方法研究

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车载移动测量系统的位置姿态信息主要依靠GNSS+IMU来提供,当进行隧道数据采集时,由于GNSS(global navigation satellite system)信号失锁,解算后的POS轨迹线会扭曲错位,导致激光点云严重变形,测量精度急剧下降.针对这种情况,本文提出了一种联合航位推算和控制点纠正的点云数据处理方法.首先进行常规POS轨迹线解算,得到初始POS数据,然后利用航位推算对GNSS失锁段POS轨迹线作平滑处理,最后利用靶标控制点对平滑后POS位置和姿态进行纠正、融合扫描数据得到最终点云成果.某运营铁路隧道段试验表明,航位推算能够消除无GNSS解算造成的POS轨迹线错位问题,靶标控制点纠正可将隧道点云绝对精度提升至毫米级,满足既有铁路测量精度要求.
Research on the Data Processing Method of Vehicle Mobile Measuring Point Cloud in the State of GNSS Lock-out
The position and attitude information of the vehicle-mounted mobile measurement system is mainly provid-ed by GNSS+IMU.When collecting tunnel data,the POS trajectory line after calculation will be distorted and mis-aligned due to loss of GNSS(global navigation satellite system)signal,resulting in serious deformation of laser point cloud position and reduced measurement accuracy.In view of this situation,this paper proposes a point cloud process-ing method that combines dead reckoning and control point correction.Firstly,conventional POS trajectory was solved to obtain the initial POS data,and then dead reckoning was used to smooth the POS trajectory in the GNSS lock-out segment.Finally,target control points were used to correct the position and attitude of smoothed POS,and the scan-ning data are fused to obtain the final point cloud result.The test of a railway tunnel section in operation shows that dead reckoning can eliminate POS trajectory dislocation caused by non-GNSS solution,and the target control point cor-rection can improve the absolute accuracy of tunnel point cloud to millimeter level,which fully meets the requirements of the existing railway measurement accuracy.

vehicle-mounted mobile measurementGNSS lock-outpoint cloud processingcontrol point correction

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中铁第一勘察设计院集团有限公司,西安 710043

车载移动测量 GNSS失锁 点云处理 控制点纠正

中铁第一勘察设计院集团有限公司重点专项科研开发项目中铁第一勘察设计院集团有限公司科研项目

2021KY73ZD[ZDZX]-01院软2021RJ03

2024

科技通报
浙江省科学技术协会

科技通报

CSTPCDCHSSCD
影响因子:0.457
ISSN:1001-7119
年,卷(期):2024.40(4)
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