Quality assessment of traversability maps from aerial LIDAR data for an unmanned ground vehicle
作者： N. Vandapel , R.R. Donamukkala , M. Hebert
DOI: 10.1109/IROS.2003.1250645
关键词: Computer science 、 Mobile robot 、 Robot 、 Remotely operated underwater vehicle 、 Data set 、 Motion planning 、 Computer vision 、 Unmanned ground vehicle 、 Lidar 、 Remote sensing 、 Geodetic datum 、 Ranging 、 Artificial intelligence
摘要: In this paper we address the problem of assessing quantitatively quality traversability maps computed from data collected by an airborne laser range finder. Such is used to plan paths for unmanned ground vehicle (UGV) prior execution long traverses. Little attention has been devoted in paper. We use a unique set geodetic control points, real robot navigation data, LIDAR (light detection and ranging) aerial imagery, during week demonstration support our work.
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