In this work we present a fast occupancy map building approach based on the VDB datastructure. Existing log-odds based occupancy mapping systems are often not able to keep up with the high point densities and framerates of modern sensors. Therefore, we suggest a highly optimized approach based on a modern datastructure coming from a computer graphic background. A multithreaded insertion scheme allows occupancy map building at unprecedented speed. Multiple optimizations allow for a customizable tradeoff between runtime and map quality. We first demonstrate the effectiveness of the approach quantitatively on a set of ablation studies and typical benchmark sets, before we practically demonstrate the system using a legged robot and a UAV.
翻译:在这项工作中,我们提出了一个基于VDB数据结构的快速占用图建设方法。现有的基于日志的占用图绘制系统往往无法跟上现代传感器的高点密度和框架速率。因此,我们建议采用一种基于计算机图形背景的现代数据结构的高度优化方法。多读插入计划允许以前所未有的速度绘制占用图。多重优化允许在运行时间和地图质量之间进行可定制的权衡。我们首先从数量上展示了该方法在一系列反缩研究和典型基准集上的有效性,然后我们才实际展示了使用断腿机器人和无人驾驶飞行器的系统。