耿双双,谢广明,管浩丞,文家燕

• 1:广西科技大学自动化学院
• 2:智能协同与交叉应用研究中心(广西科技大学)
• 3:北京大学工学院
• 4:广西汽车零部件与整车技术重点实验室(广西科技大学)

摘要(Abstract)：

为解决路侧毫米波雷达数据分布不均匀、噪点较多，导致雷达在多目标跟踪方面准确性下降的问题，本文在密度峰值聚类（density peaks clustering, DPC）算法的基础上，提出一种适用于毫米波雷达数据改进的DPC算法。该方法结合匈牙利匹配算法和无迹卡尔曼滤波算法（unscented Kalman filter, UKF），实现77 GHz毫米波雷达在不同车流密度路面上的跟踪验证。实验结果表明：改进后的DPC算法能够在大幅度提高毫米波雷达数据聚类精度的同时，有效提高多目标跟踪算法的跟踪精度。

关键词(KeyWords)： 毫米波雷达;多目标跟踪;密度峰值聚类(DPC);匈牙利匹配;无迹卡尔曼滤波(UKF)

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(61963006);; 广西汽车零部件与整车技术重点实验室自主研究课题(2022GKLACVTZZ01);; 中国高校产学研创新基金项目(2021ZYA08002);; 广西自然科学基金项目(2018GXNSFAA050029,2018GXNSFAA294085)资助

作者(Author): 耿双双,谢广明,管浩丞,文家燕

DOI: 10.16375/j.cnki.cn45-1395/t.2025.04.012

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