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作 者:张建财 李修岭 韩峰[5] 韩姝敏 ZHANG Jiancai;LI Xiuling;HAN Feng;HAN Shumin(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring,Lanzhou 730070,China;Gansu Provincial Engineering Laboratory for National Geographic State Monitoring,Lanzhou 730070,China;China Railway Lanzhou Bureau Group Co.,Ltd.,Lanzhou 730030,China;College of Civil Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
机构地区:[1]兰州交通大学测绘与地理信息学院,甘肃兰州730070 [2]地理国情监测技术应用国家地方联合工程研究中心,甘肃兰州730070 [3]甘肃省地理国情监测工程实验室,甘肃兰州730070 [4]中国铁路兰州局集团有限公司,甘肃兰州730030 [5]兰州交通大学土木工程学院,甘肃兰州730070
出 处:《实验技术与管理》2021年第6期62-66,共5页Experimental Technology and Management
基 金:国家自然科学基金(51568037);兰州交通大学优秀平台(201806)。
摘 要:传统的既有线复测方法在安全、效率、质量等方面已无法满足如今高速、高密度运营条件,故急需一种安全、高效的既有线测量方式。该文将三维激光扫描仪、数码影像传感器、GPSIMU等多种传感器集成于自移动式小车上,设计了一套智能化、一体化的自移动扫描测量系统;提出了一种基于点云反射强度的区域增长分割算法,实现了钢轨的自动分割,对钢轨点云数据进行封装处理后,实现了轨距测量及线路中线提取。结果表明:该自移动扫描测量系统一定程度上克服了传统既有线测量方法的不足,有助于既有线智能化测量的发展。The traditional methods of remeasuring railways can not meet current high-speed and high-density operating conditions anymore in terms of safety, efficiency and quality, so a safer and more efficient measurement method is urgently needed. This paper integrates together various sensors in an automatic instrument, such as 3 D laser scanner, digital image sensor, GPSIMU, etc., designing a set of intelligent and integrated self-mobile scanning measurement system. A region growing segmentation algorithm based on the reflection intensity of point cloud is proposed to realize the automatic rail segmentation. After wrapping the rail point cloud data, the gauge measurement and extraction of centre lines are realized. The results show that self-mobile scanning measurement system overcomes the shortcomings of traditional railway measurement to some extent, and is conductive to the development of railway intelligent measurement.
分 类 号:U216.3[交通运输工程—道路与铁道工程]
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