,

Maximilian Bauder1, Robin Langer1, Tibor Kubjatko2

  • 1CARISSMA Institute of Electric, Connected and Secure Mobility, Technische Hochschule Ingolstadt, Esplanade 10, 85049 Ingolstadt, Germany.

PubMed
概括

这项研究使用卡尔曼过器与合作意识信息 (CAM) 提高了车辆定位的准确性. 将过程噪声共变矩阵Q与无气味卡尔曼波器进行调整,可显著提高智能运输系统的数据精度.

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