原文传递
Investigation of Terrain Analysis and Classification Methods for Ground Vehicles.
| 题名： | Investigation of Terrain Analysis and Classification Methods for Ground Vehicles. |
| 作者： | Iagnemma, K. |
| 关键词： | Classification; Ground Vehicles; Guidance; Learning; Mobility; Self Operation; Terrain; Unmanned |
| 摘要： | Unmanned ground vehicles (UGVs) must rapidly and robustly characterize the nature of the terrain they are traversing, to improve autonomous mobility. This research program has focused on the development of a framework for self-supervised terrain classification, which allows a UGV to automatically learn the properties of terrain without human guidance. Work has also focused on novel applications of the self-supervised terrain learning approach, including urban/semi-urban driving on road networks. Finally, research has led to the development of novel sensing techniques for analyzing robot-terrain interaction mechanics at the micro scale. |
| 报告类型： | 科技报告 |
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