Estimation of Vehicle Turning Radius Based on Federal Kalman Filter

Xianbin Wang, Shuming Shi
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引用次数: 2

Abstract

This paper presents a new method for identifying turning radius using a Federal Kalman Filter and a vehicle dynamic model. A dynamic model, which includes vehicle radius, is first introduced. The Federal Kalman Filter is then implemented using the measurements of GPS and INS sensors. From the Federal Kalman Filter, the vehicle turning radius can be precisely estimated. Experimental results verify that the estimation scheme is giving appropriate estimates of the vehicle turning radius.
基于联邦卡尔曼滤波的车辆转弯半径估计
本文提出了一种利用联邦卡尔曼滤波和车辆动力学模型识别转弯半径的新方法。首先介绍了包含车辆半径的动态模型。然后使用GPS和INS传感器的测量值实现联邦卡尔曼滤波器。利用联邦卡尔曼滤波,可以精确估计车辆的转弯半径。实验结果验证了该估计方案对车辆转弯半径的估计是合理的。
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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