ugv

It can meet the need of the real-time identification to a certain extent and provide essential navigation information for UGV.

一定程度上能够满足实时识别的需求，可以为无人车的决策系统提供路面的交通信息，以便正确地导航。

In this field, 3D environment modeling and mapping are essential tasks for UGV in unstructured outdoor scenes.

在该研究领域，针对室外非结构化三维场景的环境建模与三维地图构建是研究的核心与重点。

The experiment results and corresponding data analysis show that our real-time elevation map is effective for guiding UGV motion planning. Furthermore, the result of large-scale 3D scene mapping based on multiple 2D laser scanners can accomplish DUT campus digitalization effectively.

实验结果及相关数据分析表明，实时构建的局部高程地图能保证无人车自主运动规划可靠进行，而利用在线采集的多源激光测距数据所构建的三维环境地图则能有效完成大范围校园场景的数字化。