Automated retrieval of 3D CAD model objects in construction range images

被引:167
作者
Bosche, F. [1 ]
Haas, C. T. [1 ]
机构
[1] Univ Waterloo, Dept Civil & Environm Engn, Waterloo, ON N2L 3G1, Canada
基金
美国国家科学基金会;
关键词
laser scanner; range point cloud; computer aided design; data registration; automated object recognition;
D O I
10.1016/j.autcon.2007.09.001
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Automated and robust retrieval of three-dimensional (313) Computer-Aided Design (CAD) objects from laser scanned data would have many potentially valuable applications in construction engineering and management. For example, it would enable automated progress assessment for effortless productivity tracking, automated 3D image database searching for forensic and legal analysis, and real-time local modeling for automated equipment control and safety. After reviewing and analyzing previous research in the field of automated object recognition, this paper presents a new approach for robust automated recognition/retrieval of 3D CAD objects in range point clouds in the Architectural/Engineering/ Construction & Facility Management (AEC-FM) context. This approach is validated in laboratory experiments. A first experiment demonstrates that this new approach can efficiently and robustly automatically retrieve 3D CAD model objects in construction laser scanned data. A second experiment demonstrates how this approach can be used for efficiently assessing construction progress. The results presented here are preliminary but conclusive for proof of concept. More extensive field experiments in this and other application areas will follow to characterize performance trade-offs in practice. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:499 / 512
页数:14
相关论文
共 16 条
[1]   A formalism for utilization of sensor systems and integrated project models for active construction quality control [J].
Akinci, B ;
Boukamp, F ;
Gordon, C ;
Huber, D ;
Lyons, C ;
Park, K .
AUTOMATION IN CONSTRUCTION, 2006, 15 (02) :124-138
[2]  
[Anonymous], STER INT SPEC
[3]   MODEL-BASED OBJECT RECOGNITION IN DENSE-RANGE IMAGES - A REVIEW [J].
ARMAN, F ;
AGGARWAL, JK .
COMPUTING SURVEYS, 1993, 25 (01) :5-43
[4]  
ARMAN F, 1990, P 1990 IEEE INT C RO, V3, P1858
[5]  
BOSCHE F, 2006, 1 INT CONSTR SPEC C
[6]  
BRILAKIS IK, 2006, 13 WORKSH INT COMP E, P92
[7]   Multimodal image retrieval from construction databases and model-based systems [J].
Brilakis, Ioannis ;
Soibelman, Lucio .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2006, 132 (07) :777-785
[8]  
BRUCKER BA, 2005, INT C COMP CIV ENG A
[9]   Performance evaluation facility for LADARs [J].
Cheok, GS ;
Stone, WC .
LASER RADAR TECHNOLOGY AND APPLICATIONS IX, 2004, 5412 :54-65
[10]   Ladars for construction assessment and update [J].
Cheok, GS ;
Stone, WC ;
Lipman, RR ;
Witzgall, C .
AUTOMATION IN CONSTRUCTION, 2000, 9 (5-6) :463-477