Automated Point Cloud Object Classification

大型基本建设项目中的延误和成本超支往往是由于管道和联接器等预制组件的尺寸不兼容造成的。对这些组成部分的尺寸进行核查被认为是确保顺利、按预算执行项目和消除返工需要的关键过程。必须将部件与原始设计进行比较，以确保竣工合规性，并与施工现场进行虚拟匹配，以确保交付时的适当配合。地面激光扫描仪器提供了一种快速捕获预制组件的准确三维(3D)数据集(点云)的方法。当前将点云转换为3D模型的做法需要有经验的用户进行手动干预。该项目旨在自动化从点云数据生成3D模型的过程。从被数据杂乱、遮挡和噪声污染的点云数据中识别出圆盘和圆柱体等几何基元。拟议的软件系统的有效实施将在许多方面使支助组织和整个加拿大建筑业受益。提供一种自动检查尺寸符合性的方法将减少切割和焊接返工，更有效地利用项目经理的时间，更高质量的检查，并最大限度地减少施工索赔和争议。

Delays and cost over-runs in large capital construction projects are often caused by the dimensionalincompatibility of pre-fabricated components such as pipes and couplings. The verification of thesecomponents' dimensions is recognized as a critical process to ensure smooth, on-budget project execution andto eliminate the need for rework. Components must be compared to the original design to ensure as-builtcompliance and virtually matched with the construction site to ensure proper fit upon delivery. Terrestrial laserscanning instruments provide a means to rapidly capture accurate, three-dimensional (3D) datasets (pointclouds) of pre-fabricated components. Current practice for transforming point clouds into 3D models requiresmanual intervention by experienced users. This project aims to automate the process of producing 3D modelsfrom point cloud data. Geometric primitives such as disks and cylinders will be recognized from the pointcloud data contaminated by data clutter, occlusions and noise. The efficient implementation of the proposedsoftware system will benefit the supporting organization and the Canadian construction industry as a whole in anumber of ways. Providing an automatic means for checking dimensional compliance will lead to reduced cutand weld rework will be reduced, more effective use of project manager time, higher quality inspections andminimized construction claims and disputes.