基于目标检测和双目测距的交通标志牌安装角度测量方法
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1.新疆大学机械工程学院;2.新疆大学交通运输工程学院 乌鲁木齐市

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TP2

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国家自然科学基金项目(面上项目,重点项目,重大项目)


Traffic sign mounting angle measurement based on object detection and binocular ranging
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    摘要:

    针对交通标志安装角度测量困难、测量方法单一等问题。通过YOLOv8目标检测准确率实验,使模型具有准确目标检测框,确保标志牌像素坐标的准确性。本文利用迁移学习引入了迭代几何编码体立体匹配模型(IGEV)对双目测距模型进行了改进。测距实验中设立了1.5m、2.0m、2.5m和3m四个距离变量,经过实验验证测距模型的准确性,与真实距离值对比测距误差率为0.67%;标志牌安装角度实验证明了角度测量所有误差率小于7.62%。本文方法标志安装角度测量方法智能化。

    Abstract:

    Aiming at the problems such as the difficulty of measuring the angle of traffic sign installation and the single measurement method. Through YOLOv8 object detection accuracy experiments, the model is made to have an accurate object detection frame to ensure the accuracy of signage pixel coordinates. In this paper, iterative geometric encoder stereo matching model (IGEV) is introduced to improve the binocular ranging model using migration learning. Ranging experiments were set up in 1.5m, 2.0m, 2.5m and 3m four distance variables, after the experiments to verify the accuracy of the ranging model, and the true distance value compared with the ranging error rate of 0.67%; sign installation angle experiments proved that all the error rate of the angular measurement is less than 7.62%. This paper method sign installation angle measurement method intelligent.

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历史
  • 收稿日期:2024-01-11
  • 最后修改日期:2024-03-30
  • 录用日期:2024-04-08
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