论文标题
空中，城市激光雷达点云的指标
Metrics for Aerial, Urban LiDAR Point Clouds
论文作者
论文摘要
本文介绍了五个新的密度和准确度指标，以解决空中点云，以解决现代，密集的激光扫描城市场景的复杂性和目标。五个指标描述了（1）垂直表面密度（垂直表面上的每个区域点）； （2）垂直密度与水平密度的关系； （3）垂直表面精度；并将误差分解为（4）内部和（5）个交叉通道组件。具体考虑的是垂直表面覆盖范围和重叠飞行的实践，以减少闭塞并实现二十一世纪用例所需的垂直密度（例如路缘和窗口检测）。这些指标将这些指标应用于最近的城市天桥四重奏，通过（1）在预测垂直表面上的点密度时，考虑了（1）考虑传感器位置和壁高的功效； （2）交叉通道的注册说明了垂直表面误差（但不是水平）的数量不成比例的，并提供了一个有意义的参数，以比较高密度的Urban Point Clouds； （3）与水平密度和准确性相比，垂直对应物受到现代化，优化的飞行任务的不成比例影响（对密度产生积极影响，并且对准确性产生负面影响）。
This paper introduces five new density and accuracy metrics for aerial point clouds that address the complexity and objectives of modern, dense laser scans of urban scenes. The five metrics describe (1) vertical surface density (points per area on vertical surfaces); (2) vertical density as a function of horizontal density; (3) vertical surface accuracy; and a decomposition of error into (4) within-pass and (5) cross-pass components. Specifically considered is vertical surface coverage and the practice of overlapping flight passes to reduce the occlusions and achieve the vertical density needed for twenty-first-century use cases (e.g. curb and window detection). The application of these metrics to a quartet of recent urban flyovers demonstrates their relevance by establishing (1) the efficacy of considering sensor position and wall height when predicting point density on vertical surfaces; (2) that cross-pass registration accounts for a disproportionate amount of the vertical surface error (but not horizontal) and provides a meaningful parameter to compare high-density, urban point clouds; and (3) that compared to horizontal density and accuracy, the vertical counterparts are disproportionately impacted (positively for density and negatively for accuracy) by modern, optimized flight missions.
