3D thermal modeling for existing buildings using hybrid LIDAR system

Congress on Computing in Civil Engineering, Proceedings

Volumn , Issue , 2011, Pages 552-559

  Cho, Y ^a   Wang, C ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Buildings; Hybrid methods; Thermal factors; Three dimensional models

Indexed keywords

3-D MODELING; 3D MODELS; BUILDING ENERGY EFFICIENCY; DECISION MAKERS; DECISION SUPPORT TOOLS; ENERGY PERFORMANCE; ENVIRONMENTAL PERFORMANCE; EXISTING BUILDING; FIELD EXPERIMENT; HYBRID METHOD; INFRA-RED CAMERAS; LIDAR SYSTEMS; POINT CLOUD; RESIDENTIAL HOUSE; TECHNICAL FEASIBILITY; THERMAL DATA; THERMAL FACTORS; THERMAL MODELING; THREE-DIMENSIONAL MODEL;

BUILDINGS; CIVIL ENGINEERING; DECISION MAKING; DECISION SUPPORT SYSTEMS; ENERGY EFFICIENCY; ENVIRONMENTAL IMPACT; ENVIRONMENTAL MANAGEMENT; OPTICAL RADAR; RETROFITTING;

THREE DIMENSIONAL;

EID: 80053151682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41182(416)68     Document Type: Conference Paper

References (12)

1. Balaras, C. and Argiriou, A., (2001). "Infrared Thermography for Building Diagnostics", Energy and Buildings, vol. 34, no. 2, pp. 171-183.
2. Cheok, G. (2005). "Proceedings of the 2nd NIST LADAR Performance Evaluation Workshop - March 15 - 16, 2005", NISTIR 7266, National Institute of Standards and Technology, Gaithersburg, MD, October.
3. Cho, Y. and Martinez, D. (2009). "Light-weight 3D LADAR System for Construction Robotic Operations," 26th International Symposium on Automation and Robotics in Construction (ISARC), Austin, Texas, June 24-27, pp.237-244.
4. Energy Information Agency(EIA), (2009). "Annual Energy Review 2008", DOE/EIA-0384 (2008), U.S. Department of Energy, June 2009.
5. National Renewable Energy Laboratory(NREL), 2008, "Building America Research Benchmark Definition," Technical Report NREL/TP-550-44816.
6. Schlueter, A. and Thesseling, F. (2008). "Building information model based energy/exergy performance assessment in early design stages", Journal of Automation in Construction, Vol.18, pp. 153-163.
7. Rao, D.S. (2007). "Investigations on Ancient Masonry Structures Using Infrared Thermography," Proc. of InfraMation 2007 Conference, Oct 15-19, Las Vegas, NV.
8. Shah, S., Aggarwal, J. (1996). "Intrinsic parameter calibration procedure for a high-distortion fish-eye lens camera with distortion model and accuracy estimation," Pattern Recognition, 29(11), pp. 17775-1788.
9. Tsai, F., Lin, H. (2004). "Realistic Texture Mapping on 3D Building Models," http://www.gisdevelopment.net/aars/acrs/2004/b-dem/acrs2004-b1006. shtml (12/23/2010).
10. U.S. Department of Energy(DOE) (2008). "2008 U.S. DOE buildings energy databook," http://buildingsdatabook.eren.doe.gov/
11. Hartley, R. and Zisserman, A. (2003). Multiple View Geometry in Computer Vision. Cambridge University Press. pp. 155-157. ISBN 0-521-54051-8.
12. Zhang, Z. (2000). "A flexible new technique for camera calibration'", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.22, No.11, pages 1330-1334, 2000