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Study of road surface shape prediction for drivability evaluation of a mobility scooter in a grassy area

机译:草地形状机动性踏板车驾驶性能评估的路面形状预测研究

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The aim of this study was to estimate the road surface shape in a grassy area in order to judge whether a mobility scooter can drive without accidents. For drivability evaluation, a road surface shape map is needed and it is constructed by a laser range finder (LRF). In order to make an accurate road surface shape map, it is necessary to obtain distance information of the road surface accurately. An experiment was conducted to understand characteristics when acquiring distance information in a grassy area. It was found that the distance information obtained from the LRF in a grassy area may include the information of the road surface. Therefore, we proposed a new road surface shape map expressed by the probability of being a road surface. An experiment was carried out to verify the validity of the proposed road surface shape map. It was found that the accuracy was sufficient for drivability evaluation.
机译:这项研究的目的是估计草地上的路面形状,以便判断机动踏板车是否可以无事故驾驶。为了进行驾驶性能评估,需要路面形状图,并由激光测距仪(LRF)构造。为了制作准确的路面形状图,需要准确地获取路面的距离信息。进行了一项实验,以了解在草地上获取距离信息时的特征。已经发现,在草地上从LRF获得的距离信息可以包括路面的信息。因此,我们提出了一种新的路面形状图,以成为路面的概率表示。进行了一项实验,以验证所提出的路面形状图的有效性。发现该精度对于驾驶性能评估是足够的。

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