A Real-Time Productivity Tracking Framework Using Survey-Cloud-BIM Integration
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-020-04844-5.pdf
Reference31 articles.
1. Golparvar-Fard, M.; Bohn, J.; Teizer, J.; Savarese, S.; Peña-Mora, F.: Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques. Autom. Constr. 20(8), 1143–1155 (2011)
2. Yang, J.; Park, M.-W.; Vela, P.A.; Golparvar-Fard, M.: Construction performance monitoring via still images, time-lapse photos, and video streams: now, tomorrow, and the future. Adv. Eng. Inf. 29(2), 211–224 (2015)
3. Hwang, B.-G.; Zhao, X.; Ng, S.Y.: Identifying the critical factors affecting schedule performance of public housing projects. Habitat Int. 38, 214–221 (2013)
4. Navon, R.; Sacks, R.: Assessing research issues in automated project performance control (APPC). Autom. Constr. 16(4), 474–484 (2007)
5. Bosché, F.; Ahmed, M.; Turkan, Y.; Haas, C.T.; Haas, R.: The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: the case of cylindrical MEP components. Autom. Constr. 49, 201–213 (2015)
Cited by 11 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. Towards accurate correspondence between BIM and construction using high-dimensional point cloud feature tensor;Automation in Construction;2024-06
2. Complexities to the deployment of cloud computing for sustainability of small construction projects: Evidence from Pakistan;Ain Shams Engineering Journal;2023-12
3. Modeling the Relation between Building Information Modeling and the Success of Construction Projects: A Structural-Equation-Modeling Approach;Applied Sciences;2023-08-07
4. Current Status and Future Research Trends of Construction Labor Productivity Monitoring: A Bibliometric Review;Buildings;2023-06-07
5. Automated monitoring technologies and construction productivity enhancement: Building projects case;Ain Shams Engineering Journal;2022-11
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