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Updated: Jun 17, 2025

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基于KF的车辆侧滑估计逻辑与乘用车复杂性增加的比较

Lorenzo Ponticelli1, Mario Barbaro1, Geraldino Mandragora1

  • 1Industrial Engineering Department, University of Naples "Federico II", Via Claudio 21, 80125 Naples, Italy.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
概括

本研究评估了基于卡尔曼波器 (KF) 的虚拟传感方法,以实时估计车辆侧滑角度. 它平衡了高级驾驶辅助系统 (ADAS) 的估计准确性和计算负载.

关键词:
扩展的卡尔曼过器侧滑角度 侧滑角度 侧滑角度没有香味的卡尔曼过器.车辆动态 车辆动态车辆状态估计车辆状态估计虚拟传感感觉的虚拟传感

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