Object identification based on 3D spatial models of construction sites

Chi, Seokho, Caldas, Carlos, & Kim, Dae Young (2007) Object identification based on 3D spatial models of construction sites. In Computing in Civil Engineering : Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering, American Society of Civil Engineers (ASCE), Pittsburgh, Pennsylvania, pp. 729-736.

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On obstacle-cluttered construction sites, understanding the motion characteristics of objects is important for anticipating collisions and preventing accidents. This study investigates algorithms for object identification applications that can be used by heavy equipment operators to effectively monitor congested local environment. The proposed framework contains algorithms for three-dimensional spatial modeling and image matching that are based on 3D images scanned by a high-frame rate range sensor. The preliminary results show that an occupancy grid spatial modeling algorithm can successfully build the most pertinent spatial information, and that an image matching algorithm is best able to identify which objects are in the scanned scene.

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2 citations in Scopus
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ID Code: 41475
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Spatial analysis, Construction sites, Imaging techniques, Construction equipment
DOI: 10.1061/40937(261)87
ISBN: 9780784409374
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Building Construction Management and Project Planning (120201)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
Copyright Owner: Copyright 2007 ASCE
Deposited On: 29 Apr 2011 03:58
Last Modified: 30 Apr 2011 13:20

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