Framework for real-time three-dimensional modeling of infrastructure

被引:29
作者
Teizer, J
Kim, C
Haas, CT
Liapi, KA
Caldas, CH
机构
[1] Univ Texas, Dept Civil Engn, Austin, TX 78712 USA
[2] Chung Ang Univ, Dept Architecture, Seoul 156756, South Korea
[3] Univ Patras, Patras 26500, Greece
来源
GEOLOGY AND PROPERTIES OF EARTH MATERIALS 2005 | 2005年 / 1913期
关键词
D O I
10.3141/1913-17
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Modeling transportation infrastructure assets in three dimensions (3D) is becoming increasingly necessary for good management. Condition assessment, maintenance, operations, and construction activities are exploiting 3D models for improved visualization, communications, and process control. Acquiring 3D models rapidly can improve safety and productivity and is becoming feasible through approaches based on sparse range point clouds; however, although this approach has contextual advantages, it is ultimately limited in speed. Emerging Flash laser detection and ranging (LADAR) technology is opening up the possibility of 3D modeling at rates better than 1 Hz (real time). A framework for 3D modeling is presented that includes the dimension of time. In particular, the performance of the Flash LADAR technology is examined, and potential applications are explored. Technologies such as Flash LADAR will play an important role in real-time modeling of infrastructure assets in the near future.
引用
收藏
页码:177 / 186
页数:10
相关论文
共 15 条
[1]  
BOSCHE F, 2003, P 20 INT S AUT ROB C
[2]  
*BUR LAB STAT US D, INJ ILLN FAT
[3]  
CHEOK G, 2003, P LADAR CAL WORKSH J
[4]  
CHEOK GS, P 16 IAARC IFAC IEEE, P645
[5]  
Hirschberg U., 1996, Automation in Construction, V5, P171, DOI 10.1016/0926-5805(96)00144-6
[6]   A system for semi-automatic modeling of complex environments [J].
Johnson, AE ;
Hoffman, R ;
Osborn, J ;
Hebert, M .
INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN 3-D DIGITAL IMAGING AND MODELING, PROCEEDINGS, 1997, :213-220
[7]  
KIM C, 2004, P EARTH SPAC 9 ASCE
[8]  
KIM YS, 2002, AUTOMAT CONSTR, V10, P57
[9]   Fitting range data to primitives for rapid local 3D modeling using sparse range point clouds [J].
Kwon, SW ;
Bosche, F ;
Kim, C ;
Haas, CT ;
Liapi, KA .
AUTOMATION IN CONSTRUCTION, 2004, 13 (01) :67-81
[10]  
LEBEGUE X, 1992, P 1992 INT C ROB AUT, V2, P1778