车载激光点云纠正技术研究

Research on Vehicle Laser Point Cloud Correction Technology

随着智慧城市建设发展需求的不断扩大,移动扫描技术在项目应用中的频率不断提升,车载三维激光扫描技术以其高效率、高精度的特点已在项目实践中占有一席之地。但车载三维激光扫描技术受限于卫星信号等情况影响,点云数据为确保达到高精度,通常需进行远超车载扫描本身工作量的点云精度改善工作,即点云纠正,本文使用多个实例数据,通过对不同纠正策略的对比,对车载激光扫描技术的纠正点布设数量和位置进行研究,摸索最优的纠正点布设方法,以期能减少纠正点布设工作,并提出了以轨迹质量为依据的点云纠正策略,提高大批量获取高精度道路点云数据的效率。

With the increasing demand of smart city construction and development, the frequency of mobile scanning technology in the project application is constantly increasing. Vehicle-mounted 3 D laser scanning technology has taken a place in the project practice with its high efficiency and high precision. But car 3 D laser scanning technology is limited by the satellite signal, and so on and so forth, point cloud data in order to ensure to achieve high precision, usually require far overtaking scanning itself several times effort of the point cloud to improve working accuracy, namely the point cloud to correct, this article USES multiple instance data, through the comparison of different correction strategy, correct point layout of vehicular laser scanning technology to study the number and location, grope for the optimal corrective point setting method, in order to reduce the correct point layout work, and put forward based on track quality point cloud correct strategy, improve the efficiency of the mass to obtain high precision road point cloud data.