三维激光扫描点云典型场景可见性分析方法研究

Abstract

三维激光扫描点云可以用于客观描述和数字化再现真实世界的三维场景。分析点云典型场景（如道路环境）中各类目标之间的位置关系，提高遮挡情况下目标检测的准确性，从而明确导致目标遮挡的空间因素，具有重要的学术和应用意义。然而，实现自动化点云场景可见性分析在目前仍面临诸多挑战。首先，现实场景中受遮挡的目标往往同时受到周围相邻目标的干扰，使得这些处于高噪声点云中的目标检测难度加大。其次，观测模型构建以及遮挡计算需要应对复杂多变的场景，缺乏系统性遮挡分析方法。此外，大规模海量点云数据对可见性分析技术各环节的运算效率要求较高。本文以植冠遮挡交通标志牌和地面采光作为研究示例，以构建精确、高效的点云场景可见性分析方...

A 3D laser scanning point cloud scene provides an objective description and digital reproduction of the scanning scene in the real world. By analyzing the positional relationship between objects in a selected scene (e.g., a road scene) and improving the accuracy of occluded objects, we can clarify the spatial factors leading to occlusion, thus presenting great academic and applied value. However, ...