摘要
毫米波雷达作为车辆主动安全技术的核心传感器之一,在预警系统中,雷达的安装误差会导致其坐标系与上层应用不一致,影响系统性能甚至安全性。雷达自动校准功能借助整车运行环境中的静止目标,通过解算静止目标物相对雷达运行速度与整车实际运行速度的矢量关系,并采取批量自学习的方法以确定雷达初始安装偏差角度值,进而使用软件补偿的方式对偏差值进行修正,使雷达传感器与整车坐标系保持一致。
Millimeter wave radar is one of the core sensors of vehicle active safety technology.In the early warning system,the installation error of radar will lead to the inconsistency between its coordinate system and upper application,which will affect the system performance and even safety.With the aid of the static target in the running environment of the whole vehicle,the radar automatic calibration function calculates the vector relationship between the running speed of the static target relative to the radar and the actual running speed of the whole vehicle,and adopts the method of batch self-learning to determine the angle value of the initial installation deviation of the radar,and then uses the method of software compensation to correct the deviation value,so as to transmit the radar.
作者
朱龙
ZHU Long(Xuzhou XCMG Automotive Manufacturing,Xuzhou 221100,China)
出处
《汽车电器》
2021年第4期37-40,共4页
Auto Electric Parts
关键词
毫米波雷达
自动校准
补偿修正
millimeter wave radar
automatic calibration
compensation correction
