Vehicle Tracking for Bridge Load Dynamics Using Vision Techniques
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-29956-3_9
Reference12 articles.
1. Google Books N-gram Viewer [Online]. http://books.google.com/ngrams . Accessed 01 Jan 2015
2. Hu, X., Wang, B., Ji, H.: A wireless sensor network‐based structural health monitoring system for highway bridges. Comp. Aid. Civil Infrastruct. 28(3), 193–209 (2013). Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8667.2012.00781.x/full
3. Hackmann, G., Guo, W., Yan, G., Sun, Z., Lu, C., Dyke, S.: Cyber-physical codesign of distributed structural health monitoring with wireless sensor networks. IEEE Trans. Parallel. Distrib. Syst. 25(1), 63–72 (2014). http://doi.org/10.1109/TPDS.2013.30
4. Magalhães, F., Cunha, A., Caetano, E.: Vibration based structural health monitoring of an arch bridge: from automated OMA to damage detection. Mech. Syst. Signal Process. 28, 212–228 (2012). http://doi.org/10.1016/j.ymssp.2011.06.011
5. Li, T., Li, D.M., Dou, Y.M.: A novel vehicle type recognition based on template matching. Adv. Mater. Res. 945–949, 1856–1860 (2014). http://doi.org/10.4028/www.scientific.net/AMR.945-949.1856
Cited by 9 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 computer vision–aided methodology for bridge flexibility identification from ambient vibrations;Computer-Aided Civil and Infrastructure Engineering;2024-09-03
2. Machine Vision Based The Spatiotemporal Information Identification of The Vehicle;Jordan Journal of Civil Engineering;2023-10-01
3. Computer Vision-Based Bridge Inspection and Monitoring: A Review;Sensors;2023-09-13
4. An improved system for long-term monitoring of full-bridge traffic load distribution on long-span bridges;Structures;2023-08
5. A combined method for vehicle load identification based on machine vision and BP neural network;Journal of Civil Structural Health Monitoring;2023-04-15
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