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Method for Real-time Object Detection Based on Lidar Sensor and Camera Using CNN

机译:基于LIDAR传感器和相机使用CNN的实时对象检测方法

摘要

A camera and lidar sensor-based real-time object detection method and apparatus using CNN are presented. Camera and lidar sensor-based real-time object detection method using CNN proposed in the present invention is based on PCD (Point Cloud Data) including reflectance and distance information and image data, and object detection learning for a plurality of YOLOs based on CNN Performing each, predicting a bounding box and a reliability score for an object in each object detection model learned based on PCD and image data, and converting the coordinates of the bounding box to the object to fuse the object detection results. And determining a final bounding box through a weighted average based on the confidence score for
机译:提出了一种相机和LIDAR传感器的实时对象检测方法和使用CNN的装置。使用本发明中提出的CNN的相机和基于LIDAR传感器的实时对象检测方法基于PCD(点云数据),包括基于CNN执行的多个yolos的对象检测学习每个,预测限定框和基于PCD和图像数据学到的每个对象检测模型中的对象的对象的可靠性分数,并将边界框的坐标转换为对象以熔断对象检测结果。并根据基于置信度得分通过加权平均值确定最终边界框

著录项

  • 公开/公告号KR20210026412A

    专利类型

  • 公开/公告日2021-03-10

    原文格式PDF

  • 申请/专利权人 순천향대학교 산학협력단;

    申请/专利号KR1020190107150

  • 发明设计人 조정호;김진수;

    申请日2019-08-30

  • 分类号G06T7/11;G01S17/02;G06N3/08;G06T7/50;

  • 国家 KR

  • 入库时间 2022-08-24 17:36:05

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