Calculation of descriptive statistics by devices with low computational resources for use in calibration of V2I system

K. Kubiak, M. Banach, R. Dlugosz
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引用次数: 2

Abstract

In this work we present modified iterative methods for computing basic statistical quantities (mean, variance) for use in the calibration process of a system based on V2I (vehicle-to-infrastructure) communication devices. Such devices, mounted in the road and urban infrastructure (RSU - road side equipment) may be used as support for autonomous vehicles moving in urban environment. Calibration is necessary to determine the positions of the RSUs in global coordinate system (GCS) and to record this information in their internal memory. The proposed modifications to conventional iterative algorithms aim at adapting these methods to the application in devices with low computational abilities or directly at the transistor level in specialized integrated circuits.
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用低计算资源的设备计算描述统计量,用于V2I系统的校准
在这项工作中,我们提出了用于计算基本统计量(均值,方差)的改进迭代方法,用于基于V2I(车对基础设施)通信设备的系统校准过程。安装在道路和城市基础设施中的此类设备(RSU—道路侧设备)可用于支持在城市环境中行驶的自动驾驶车辆。为了确定rsu在全局坐标系(GCS)中的位置并将此信息记录在其内部存储器中,需要进行校准。对传统迭代算法的改进旨在使这些方法适应于低计算能力的器件或直接在专用集成电路的晶体管级的应用。
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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