| contributor author | Jochen Teizer | |
| contributor author | Carlos H. Caldas | |
| contributor author | Carl T. Haas | |
| date accessioned | 2017-05-08T20:46:26Z | |
| date available | 2017-05-08T20:46:26Z | |
| date copyright | November 2007 | |
| date issued | 2007 | |
| identifier other | %28asce%290733-9364%282007%29133%3A11%28880%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/26686 | |
| description abstract | Awareness of the construction environment can be improved by automatic three-dimensional (3D) sensing and modeling of job sites in real time. Commercially available 3D modeling approaches based on range scanning techniques are capable of modeling static objects only, and thus cannot model dynamic objects in real time in an environment comprised of moving humans, equipment, and materials. Emerging prototype video range cameras offer an alternative by facilitating affordable, wide field of view, dynamic object tracking at frame rates better than | |
| publisher | American Society of Civil Engineers | |
| title | Real-Time Three-Dimensional Occupancy Grid Modeling for the Detection and Tracking of Construction Resources | |
| type | Journal Paper | |
| journal volume | 133 | |
| journal issue | 11 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/(ASCE)0733-9364(2007)133:11(880) | |
| tree | Journal of Construction Engineering and Management:;2007:;Volume ( 133 ):;issue: 011 | |
| contenttype | Fulltext | |