Path alignment is the process of mapping an indoor construction inspection path reconstructed by a visual SLAM system onto a 2D map with user interaction required to pinpoint at least two common tie points. In practice, more points are often needed due to path distortions and linear transformations, potentially resulting in reduced productivity. This paper proposes a methodology that combines two novel algorithms for the path alignment: (1) PCA_STAN_ALGO applies principal component analysis to remove path distortions caused by the xz plane of a camera coordinate system not being parallel to the floor plane; and (2) GRPX_TRANS utilizes a graphical user interface to facilitate the path alignment. The proposed methodology enables the users to utilize just two tie points for successful path alignment. An experimental study showed that applying both PCA_STAN_ALGO and GRPX_TRANS saved about 50% in time compared to using only GRPX_TRANS, a result of needing minimal moving points.

路径对齐是指将可视化SLAM系统重建的室内施工检查路径映射到2D地图上的过程，其中用户交互需要精确定位至少两个公共联系点。实际上，由于路径失真和线性变换，通常需要更多的点，从而可能导致生产率降低。本文提出了一种方法，该方法结合了两种新颖的路径对齐算法：（1）PCA_STAN_ALGO应用主成分分析来消除由相机坐标系的xz平面不平行于地板平面引起的路径失真；（2）GRPX_TRANS利用图形用户界面来促进路径对齐。所提出的方法使用户能够仅利用两个联系点来成功进行路径对齐。