首页 /研究 /Automated Defect Quantification in Concrete Bridges Using Robotics and Deep Learning
LEARNING

Automated Defect Quantification in Concrete Bridges Using Robotics and Deep Learning

Evan McLaughlin, Nicholas E. Charron, Sriram Narasimhan

发表年份
2020
引用次数
82

摘要

AbstractThis work presents a process for automated end-to-end inspection of area defects—specifically spalls and delaminations—in RC bridges. The process uses a mobile robotic platform to collect t...

关键词

RoboticsArtificial intelligenceEngineeringDeep learningComputer scienceConstruction engineeringCivil engineeringForensic engineeringRobot

相关论文

查看 LEARNING 分类全部论文