The invention relates to the technical field of intelligent cabins, and particularly discloses a millimeter wave radar-based driver type identification method, which comprises the following steps of: performing distance dimension FFT (Fast Fourier Transform) on echo data of a target driver in a current time period to obtain distance dimension FFT data of the target driver in the current time period; performing angle estimation on the distance dimension FFT data of the target driver to obtain a two-dimensional matrix of the target driver; calculating a plurality of characteristic parameters of the target driver according to the two-dimensional matrix of the target driver; inputting the plurality of characteristic parameters of the target driver into a neural network model for type identification so as to output the type of the target driver; and when the vehicle collides, the air inflation amount of the intelligent safety air bag is controlled according to the type of the target driver and passenger. The passenger type information in the vehicle can be obtained in real time, the unfolding time and strength of the safety air bag are dynamically controlled, and optimal protection for different types of passengers is achieved.
本发明涉及智能座舱技术领域,具体公开了一种基于毫米波雷达的驾乘者类型识别方法,包括:对当前时间段内目标驾乘者的回波数据进行距离维FFT变换,以得到当前时间段内目标驾乘者的距离维FFT数据;对目标驾乘者的距离维FFT数据进行角度估计,以得到目标驾乘者的二维矩阵;依据目标驾乘者的二维矩阵计算出目标驾乘者的多个特征参数;将目标驾乘者的多个特征参数输入到神经网络模型中进行类型识别,以输出目标驾乘者的类型;在车辆发生碰撞时,根据目标驾乘者的类型对智能安全气囊的气体充气量进行控制。本发明能够实时获取车内乘客类型信息,动态控制安全气囊的展开时间和强度,实现对不同类型乘客的最佳保护。
Passenger type identification method based on millimeter wave radar
一种基于毫米波雷达的驾乘者类型识别方法
2024-03-01
Patent
Electronic Resource
Chinese
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