基于粒子群算法的地面移动测量平台系统标定方法研究
Ground mobile measurement platform system based on particle swarm optimization (pso) method research
投稿时间:2014-05-21  修订日期:2015-01-06
DOI:
中文关键词:  地面移动测量系统  LIDAR  POS  系统标定  粒子群算法
英文关键词:Ground mobile measurement system  LIDAR  POS  system calibration  PSO
基金项目:
作者单位E-mail
张 婕 重庆市勘测院 6833900@qq.com 
龙 川 重庆市地理信息云服务企业工程技术研究中心  
殷 飞 重庆数字城市科技有限公司  
杨 元 重庆数字城市科技有限公司  
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中文摘要:
      基于激光扫描仪的地面移动测量技术是近几年刚刚发展起来的新型测绘技术,该技术集成激光扫描仪、INS(GNSS IMU)、DMI、相机等传感器,可以快速获取大面积的高精度点云与影像数据。该系统在国内还的应用处于起步阶段,在数据采集过程中有许多问题需要研究。本文重点研究了系统的标定方法,在已有数学模型的基础上,采用粒子群算法对标定计算过程进行优化,简化了计算机算法实现,增强了方法的鲁莽性,全局收敛性好。通过实验,证明了该方法的有效性。
英文摘要:
      Ground mobile measurement technique based on laser scanner is just developed a new type of surveying and mapping technology in recent years, the technology integration laser scanner, INS (GNSS and IMU), DMI, cameras and other sensors, can quickly obtain a large area of high precision point cloud and image data. The system application in domestic still in its infancy, there are many problems need to study in the process of data collection. This article focuses on the calibration method of the system, on the basis of the existing mathematical model, adopting the particle swarm algorithm to optimize a calibration calculation process, simplify the computer algorithm implementation, enhances the method of recklessness, good global convergence. Through the experiment, proved the effectiveness of the proposed method.
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