Object Recognition and Distance Extraction System Using Camera

Youngjin Yoon, Dongseok Han
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Abstract

This paper proposes a system that detects an object around a vehicle and extracts the distance of the object through vehicle sensor fusion. Unlike the camera and lidar calibration method used in the past, in this paper, the region of interest (ROI) of the frame of the image received through the camera was divided by a 2x3 ratio to perform the lidar and calibration. In addition, we propose an algorithm that detects an object through only the camera using the correction coefficient obtained through calibration of the camera and lidar and indicates the distance of the classified object.
基于摄像机的目标识别与距离提取系统
本文提出了一种检测车辆周围物体并通过车辆传感器融合提取物体距离的系统。与以往使用的相机和激光雷达校准方法不同,本文将通过相机接收到的图像的帧的感兴趣区域(ROI)除以2x3的比例进行激光雷达和校准。此外,我们提出了一种算法,利用相机和激光雷达标定得到的校正系数,仅通过相机检测目标,并指示分类目标的距离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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