首页|基于计算机视觉的乡村公路无人机巡检技术研究

基于计算机视觉的乡村公路无人机巡检技术研究

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近年来,无人机技术迅速发展并广泛应用,在乡村振兴中也发挥了积极的作用.特别是乡村道路由于地质条件等原因需要定期进行巡检,受损比较严重的地方必须第一时间进行排查,为能够快速对道路进行巡检,研究采用无人机进行图像采集,运用图像识别方式进行缺陷检测,从而实现快速、智能化巡检,保障乡村道路安全.
Research on Unmanned Aerial Vehicle(UAV)Inspection Technology for Rural Roads Based on Computer Vision
In recent years,unmanned aerial vehicle(UAV)technology has developed rapidly and been widely applied,playing a positive role in rural revitalization.Especially,rural roads require regular inspections due to geological conditions and other factors,and severely damaged areas must be investigated promptly.To enable rapid road inspections,this study adopts UAVs for image acquisition and utilizes image recognition methods for defect detection,thereby achieving rapid and intelligent inspections to ensure rural road safety.

Unmanned Aerial Vehicle(UAV)Inspection TechnologyImage ClassificationImage RecognitionRural Road

冉东、龙建旭、王转

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贵州交通职业技术学院,贵州贵阳 551400

贵州省道路检监测养护技术工程研究中心,贵州贵阳 551400

无人机 巡检技术 图像分类 图像识别 乡村道路

2021年测绘地理信息职业教育研究课题贵州省科技计划项目清镇市软科学研究项目

2021CHYB15黔科合基础-ZK[2021]一般290[2023]清科合同字第04号

2024

重庆建筑
重庆市建筑科学研究院

重庆建筑

影响因子:0.292
ISSN:1671-9107
年,卷(期):2024.23(10)