| contributor author | Seyed Mohsen Shahandashti | |
| contributor author | Saiedeh N. Razavi | |
| contributor author | Lucio Soibelman | |
| contributor author | Mario Berges | |
| contributor author | Carlos H. Caldas | |
| contributor author | Ioannis Brilakis | |
| contributor author | Jochen Teizer | |
| contributor author | Patricio A. Vela | |
| contributor author | Carl Haas | |
| contributor author | James Garrett | |
| contributor author | Burcu Akinci | |
| contributor author | Zhenhua Zhu | |
| date accessioned | 2017-05-08T21:39:17Z | |
| date available | 2017-05-08T21:39:17Z | |
| date copyright | October 2011 | |
| date issued | 2011 | |
| identifier other | %28asce%29co%2E1943-7862%2E0000293.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/58441 | |
| description abstract | Data fusion can be defined as the process of combining data or information for estimating the state of an entity. Data fusion is a multidisciplinary field that has several benefits, such as enhancing the confidence, improving reliability, and reducing ambiguity of measurements for estimating the state of entities in engineering systems. It can also enhance completeness of fused data that may be required for estimating the state of engineering systems. Data fusion has been applied to different fields, such as robotics, automation, and intelligent systems. This paper reviews some examples of recent applications of data fusion in civil engineering and presents some of the potential benefits of using data fusion in civil engineering. | |
| publisher | American Society of Civil Engineers | |
| title | Data-Fusion Approaches and Applications for Construction Engineering | |
| type | Journal Paper | |
| journal volume | 137 | |
| journal issue | 10 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/(ASCE)CO.1943-7862.0000287 | |
| tree | Journal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 010 | |
| contenttype | Fulltext | |
