Review of Intelligent Road Defects Detection Technology

Author:

Zhou Yong,Guo XinmingORCID,Hou Fujin,Wu JianqingORCID

Abstract

Road defects are important factors affecting traffic safety. In order to improve the identification efficiency of road diseases and the pertinence of maintenance and management, intelligent detection technologies of road diseases have been developed. The problems of high cost and low efficiency of artificial inspection of road diseases are solved efficiently, and the quality of road construction is improved availably. This is not only the guarantee of highway quality but also the guarantee of people’s lives and safety. This study focuses on the intelligent detection of road disease and summarizes the commonly used detection equipment in the intelligent detection technology of road diseases, which include cameras, GPR, LiDAR, and IMU. It systematically describes the evolution and development of road disease detection technology. This study analyzes the common problems existing in road disease detection technology and proposes corresponding improvement suggestions. Finally, the development trend of road detection technology is discussed, which has practical significance for the future development of road detection technology.

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Jiangsu Province,

Key Research and Development Program of Shandong Province

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference123 articles.

1. Review on smart highways critical technology;Wu;J. Shandong Univ. Eng. Sci.,2020

2. A critical review and comparative study on image segmentation-based techniques for pavement crack detection;Narges;Constr. Build. Mater.,2022

3. Common effects of temperature and load on total thickness rutting of asphalt pavement;Shi;J. Huazhong Univ. Sci. Technol.,2013

4. Research on Laws and Computational Methods of Dynamic Surface Subsidence Deformation;Leting;J. China Univ. Min. Technol.,2008

5. Road Surface Defects Detection Based on IMU Sensor

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A polymer latex modified superfine cement grouting material for cement-stabilized macadam – Experimental and simulation study;Construction and Building Materials;2024-01

2. Assessing road roughness using UAV-derived dense point clouds;Mersin Photogrammetry Journal;2023-12-15

3. HE-YOLOv5s: Efficient Road Defect Detection Network;Entropy;2023-08-31

4. Deep Learning Based Approach for Road Distress Mapping Using VHR Images;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

5. Poster: Road Sensor Messages for V2X Scenarios;2023 IEEE Vehicular Networking Conference (VNC);2023-04-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3