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RADAR DATA PROCESSOR, OBJECT DISCRIMINATION DEVICE, RADAR DATA PROCESSING METHOD AND OBJECT DISCRIMINATION METHOD

机译:雷达数据处理器,对象鉴别设备,雷达数据处理方法和对象鉴别方法

摘要

To perform object discrimination based on radar data with high accuracy by using a machine learning model.SOLUTION: Radar data including respective pieces of information of reflection intensity and speed in each azimuth and each distance, are acquired. A radar detection image storing respective pieces of information of reflection intensity, speed and distance corresponding to a position of a pixel, is generated in each of a plurality of channels of respective pixels, on the basis of the radar data. Then the radar detection image is input to a machine learning model for image recognition, which is learned to perform object discrimination, and an object discrimination result output from the machine learning model is acquired. Especially, an object region is detected from the radar data in the whole observation area, the radar data of the object region are extracted from the radar data in the whole observation area, and on the basis of the radar data of the object region, the radar detection image of the object region is generated.SELECTED DRAWING: Figure 2
机译:要通过使用机器学习模型高精度地基于雷达数据执行目标识别,请执行以下操作:解决方案:获取包括每个方位角和每个距离的反射强度和速度信息的雷达数据。在雷达数据的基础上,在各个像素的多个通道中的每个通道中生成雷达检测图像,该雷达检测图像存储与像素的位置相对应的反射强度,速度和距离的各个信息。然后,将雷达检测图像输入到用于图像识别的机器学习模型,学习该机器学习模型以执行对象识别,并且获取从机器学习模型输出的对象识别结果。尤其是,从整个观察区域的雷达数据中检测出一个目标区域,从整个观察区域的雷达数据中提取该目标区域的雷达数据,并根据该目标区域的雷达数据,生成目标区域的雷达检测图像。选定的图:图2

著录项

  • 公开/公告号JP2020016597A

    专利类型

  • 公开/公告日2020-01-30

    原文格式PDF

  • 申请/专利权人 PANASONIC CORP;

    申请/专利号JP20180140973

  • 发明设计人 RYU IKETSU;YASUKI SHIN;NAKAGAWA YOICHI;

    申请日2018-07-27

  • 分类号G01S13/58;G01S13/93;G06T1;G08G1/16;

  • 国家 JP

  • 入库时间 2022-08-21 11:35:41

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