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首页> 外文会议>International Conference on Virtual Reality(ICVR 2007); 20070722-27; Beijing(CN) >Improving the Mobility Performance of Autonomous Unmanned Ground Vehicles by Adding the Ability to 'Sense/Feel' Their Local Environment
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Improving the Mobility Performance of Autonomous Unmanned Ground Vehicles by Adding the Ability to 'Sense/Feel' Their Local Environment

机译：通过增加“感知/感知”其本地环境的能力来改善自动无人地面车辆的机动性能

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摘要

This paper explores how a 'learning' algorithm can be added to UGV's by giving it the ability to test the terrain through 'feeling' using incorporated sensors, which would in turn increase its situational awareness. Once the conditions are measured the system will log the results and a database can be built up of terrain types and their properties (terrain classification), therefore when it comes to operating autonomously in an unknown, unpredictable environment, the vehicle will be able to cope by identifying the terrain and situation and then decide on the best and most efficient way to travel over it by making adjustments, which would greatly improve the vehicles ability to operate autonomously.
机译：本文探讨了如何将UGV的“学习”算法添加到UGV中，使其具有使用内置传感器通过“感觉”测试地形的能力，从而提高了其态势感知能力。测量条件后，系统将记录结果，并可以建立地形类型及其属性（地形分类）的数据库，因此，在未知，不可预测的环境中自主操作时，车辆将能够应对通过识别地形和状况，然后通过进行调整来确定最佳和最有效的行驶方式，这将大大提高车辆的自主驾驶能力。

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