Crack Detection Using Improved Spectral Clustering Considering Effective Crack Features-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Crack Detection Using Improved Spectral Clustering Considering Effective Crack Features

Published:2018-12-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Robotics, Control and Automation Engineering
language:
Short-container-title:

Author:

Shiotsuka Daiki¹,Matsushima Kousuke²,Takahashi Osamu³

Affiliation:

1. Advanced Engineering School, National Institute of Technology, Kurume College

2. Department of Control and Information Systems Engineering, National Institute of Technology, Kurume College

3. Department of Civil and Environmental Engineering, Nagaoka University of Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3303714.3303750

Reference26 articles.

1. Pothole detection in asphalt pavement images

2. Y. Maode B. Shaobo and X. Kun. 2007. Pavement crack detection and analysis for high-grade highway the 8th International Conference on Electronic Measurement and Instruments Vancouver Canada 548--552. Y. Maode B. Shaobo and X. Kun. 2007. Pavement crack detection and analysis for high-grade highway the 8th International Conference on Electronic Measurement and Instruments Vancouver Canada 548--552.

3. Development of an autonomous bridge deck inspection robotic system

Cited by 2 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. Recent computer vision applications for pavement distress and condition assessment;Automation in Construction;2023-02

2. Audit Analysis of Abnormal Behavior of Social Security Fund Based on Adaptive Spectral Clustering Algorithm;Complexity;2021-05-19

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