This paper proposes a theoretical framework for estimating a target-object shape, the location of which is not given. The framework uses mobile distance sensors and speed meters typically mounted on vehicles, the locations of which are also unknown. Each sensor continuously measures the distance from it to the target object. The proposed framework does not require any positioning function, anchor-location information, or additional mechanisms to obtain side information such as angle of arrival of signal. Under the assumption of a convex polygon target object, each edge length and vertex angle and their combinations are estimated and finally the shape of the target object is estimated. To the best of our knowledge, this is the first result in which a target-object shape was estimated using the data of mobile distance sensors without using their locations.

中文翻译：

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使用位置未知的移动距离传感器估计目标物体形状的理论框架

本文提出了一个用于估计目标-对象形状的理论框架，但未给出其位置。该框架使用通常安装在车辆上的移动距离传感器和速度计，其位置也是未知的。每个传感器持续测量从它到目标物体的距离。所提出的框架不需要任何定位功能、锚位置信息或额外的机制来获取辅助信息，例如信号到达角。在一个凸多边形目标物体的假设下，估计每个边长和顶角及其组合，最后估计目标物体的形状。据我们所知，