Framework for Real-Time Three-Dimensional Modeling of Infrastructure

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.

[1]  Frédéric Bosché,et al.  Rapid human-assisted, obstacle avoidance system using sparse range point clouds , 2004 .

[2]  Geraldine S. Cheok,et al.  Proceedings of the LADAR Calibration Facility Workshop, June 12-13, 2003 | NIST , 2003 .

[3]  Carl T. Haas,et al.  A model for automation of infrastructure maintenance using representational forms , 2000 .

[4]  Jake K. Aggarwal,et al.  Extraction and interpretation of semantically significant line segments for a mobile robot , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[5]  S. V. Sreenivasan,et al.  Rapid Human-Assisted Creation of Bounding Models for Obstacle Avoidance in Construction , 2004 .

[6]  Soon-Wook Kwon,et al.  Primitives Merging For Rapid 3D Modeling , 2003 .

[7]  Alan M. Lytle,et al.  Towards an Intelligent Job Site: Status of the NIST Automated Steel Construction Test Bed , 2003 .

[8]  William C. Stone,et al.  Non-Intrusive Scanning Technology for Construction Assessment , 1999 .

[9]  Martial Hebert,et al.  A system for semi-automatic modeling of complex environments , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[10]  William C. Stone,et al.  Performance Analysis of Next-Generation LADAR for Manufacturing , 2004 .

[11]  Urs Hirschberg,et al.  CAAD Meets Digital Photogrammetry: Modeling "Weak Forms" for Computer Measurement , 1996, Proceedings of the 15th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA).

[12]  Roland Siegwart,et al.  A state-of-the-art 3D sensor for robot navigation , 2004 .

[13]  Soon-Wook Kwon,et al.  Fitting range data to primitives for rapid local 3D modeling using sparse range point clouds , 2004 .