UAV-aided bridge inspection protocol through machine learning with improved visibility images

作者：

Highlights：

• A bridge inspection protocol with UAV and machine learning technologies was proposed.

• Indoor and field inspections were conducted to validate the efficiency of the proposed protocol.

• Various types of damage for both inspections were efficiently classified through machine learning.

• The indoor inspections revealed that the protocol was translatable to a bridge structure.

• The field inspections demonstrated that the protocol was capable of damage quantification accurately.a

摘要

•A bridge inspection protocol with UAV and machine learning technologies was proposed.•Indoor and field inspections were conducted to validate the efficiency of the proposed protocol.•Various types of damage for both inspections were efficiently classified through machine learning.•The indoor inspections revealed that the protocol was translatable to a bridge structure.•The field inspections demonstrated that the protocol was capable of damage quantification accurately.a

论文关键词：Drone,Bridge inspection,Damage quantification,Image processing,Visibility improvement,Computer vision,Machine learning,Convolutional Neural Network (CNN)

论文评审过程：Received 15 April 2021, Revised 20 September 2021, Accepted 27 February 2022, Available online 1 March 2022, Version of Record 3 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116791