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Visual estimation of wheel sinkage for rough-terrain mobile robots

机译:崎mobile不平的移动机器人的车轮沉降的视觉估计

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摘要

For mobile robots driving across natural terrains, it is critical that the dynamic effects occurring at the wheel-terrain interface be taken into account. One of the most prevalent of these effects is wheel sinkage. Wheels can sink to depths sufficient to prevent further motion, possibly leading to danger of entrapment. This paper presents an algorithm for visual estimation of sinkage. We call it the visual sinkage estimation (VSE) method. It assumes the presence of a monocular camera and an artificial pattern, attached to the wheel side, to determine the terrain contact angle. This paper also introduces an analytical model for wheel sinkage in deformable terrain based on terramechanics. To validate the VSE module, firstly, several tests are performed on a single-wheel test bed, under different operating conditions. Secondly, the effectiveness of the proposed approach is proved in real contexts, employing an all-terrain rover travelling on a sandy beach.
机译:对于在自然地形上行驶的移动机器人,至关重要的是要考虑到在车轮-地形界面处发生的动态影响。这些影响中最普遍的一种是车轮下沉。车轮可能沉入足以阻止进一步运动的深度,从而可能导致卡住的危险。本文提出了一种用于沉没的视觉估计的算法。我们称其为视觉沉没估计(VSE)方法。假设存在单眼相机和附着在车轮侧的人造图案,以确定地形接触角。本文还基于地形力学介绍了可变形地形中车轮沉降的解析模型。为了验证VSE模块,首先,在不同的操作条件下,在单轮测试床上进行了几次测试。其次,在沙滩上行驶的全地形漫游车在实际环境中证明了该方法的有效性。

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