Evaluation of MEMS sensors accuracy for bicycle tracking and positioning

S. Miah, I. Kaparias, P. Liatsis
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引用次数: 7

Abstract

Cycling is an increasingly popular mode of travel in cities owing to the great advantages that it offers in terms of space consumption, health and environmental sustainability. However, cycling is still also perceived as relatively unsafe, and therefore it has yet to be adopted as a real alternative to the private car. Rising accident numbers, unfortunately, confirm this perception as reality, with a particular source of hazard (and a significant proportion of collisions) appearing to originate from the interaction of cyclists with Heavy Vehicles (HVs). For this purpose, the Cyclist 360° Alert system is currently being developed as a novel technological solution aimed at preventing cyclist-HV collisions. As an integral part of Cyclist 360° Alert, this paper focuses on measurements of steering angles using low-cost MEMS sensors based on a motorized two-axis rotational platform. The paper evaluates the accuracy for Tri-axis MEMS inertial sensors and validates the accuracy of the sensors' angles by utilizing an absolute encoder as the reference signal.
用于自行车跟踪定位的MEMS传感器精度评价
骑自行车在城市中越来越受欢迎,因为它在空间消耗、健康和环境可持续性方面具有巨大的优势。然而,骑车仍然被认为是相对不安全的,因此它还没有被采纳为私家车的真正替代品。不幸的是,不断上升的事故数字证实了这种看法是现实的,因为一个特定的危险来源(以及很大比例的碰撞)似乎源于骑自行车的人与重型车辆(HVs)的相互作用。为此,骑行者360°警报系统目前正在开发中,作为一种新的技术解决方案,旨在防止骑行者与高压车辆碰撞。作为自行车360°警报系统的组成部分,本文重点研究了基于电动双轴旋转平台的低成本MEMS传感器的转向角度测量。本文对三轴MEMS惯性传感器的精度进行了评估,并利用绝对编码器作为参考信号验证了传感器角度的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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