路基工程Issue(3)：44-49,6.DOI:10.13379/j.issn.1003-8825.202412004
基于计算机视觉的路基填料智能检测技术研究
Research on Intelligent Detection Technology of Roadbed Filler Based on Computer Vision
摘要
Abstract
To explore the application of intelligent detection methods based on computer vision technology in roadbed filler quality control.The instance segmentation model"Mask R-CNN"was employed to automate the segmentation,particle size calculation,and gradation analysis of fillers.Additionally,drone technology combined with computer vision was used to identify oversized particles,with a real-time early-warning mechanism introduced.This study compared resistance and electromagnetic wave methods for detecting filler moisture content and used neural networks to correct detection results,thereby improving accuracy.The result shows that,the intelligent detection technology significantly enhances testing efficiency and accuracy,reduces manual intervention,and provides effective support for quality control in roadbed construction,which has promoted the digitalization and intelligence of the construction process.关键词
计算机视觉/路基填料/智能检测/粒径计算/密实度/含水率/技术创新Key words
computer vision/roadbed filler/intelligent detection/particle size calculation/compactness/moisture content/technological innovation分类
交通工程引用本文复制引用
李涤怡..基于计算机视觉的路基填料智能检测技术研究[J].路基工程,2026,(3):44-49,6.基金项目
中国交通教育研究会2024-2026年度教育科学研究项目(JT2024YB354) （JT2024YB354）
