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Tire force estimation of unmanned ground vehicles on off-road terrains for navigation decisions

机译:评估越野条件下无人地面车辆的轮胎力以进行导航决策

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This paper proposes a method of tire force estimation designed for use in navigation decision making for Unmanned Ground Vehicles (UGVs) operating on off-road terrains. This method (called the Centroid Method) uses a 3D point cloud representation of the terrain to determine tire-ground interaction, and a linear spring to determine the corresponding tire forces. Simulation results of tire force estimation of the Centroid Method are compared against the experimentally validated MF-Swift model, including on a fractal terrain surface which simulates a rough off-road terrain. The results show that the Centroid Method performs well for longitudinal and vertical tire force estimation especially for lower frequencies up to about 8-21Hz. Although the Centroid Method does not provide the same detail as the advanced tire models such as MF-Swift, it is significantly less complex and simpler to implement for enabling efficient on-board UGV navigation decision making.
机译:本文提出了一种轮胎力估算方法,该方法旨在用于在越野地形上运行的无人地面车辆(UGV)的导航决策中。此方法(称为质心方法)使用地形的3D点云表示来确定轮胎与地面的相互作用,并使用线性弹簧来确定相应的轮胎力。将质心法估算轮胎力的模拟结果与经过实验验证的MF-Swift模型进行了比较,包括在模拟粗糙越野地形的分形地形表面上的模拟结果。结果表明,质心法在纵向和垂直轮胎力估计方面表现出色,尤其是在频率高达8-21Hz的较低频率下。尽管“质心法”没有提供与诸如MF-Swift之类的高级轮胎模型相同的详细信息,但实现高效率的车载UGV导航决策时,其实现的复杂性和复杂性大大降低。

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