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Intelligent computing and sensing for active safety on construction sites

Caldas, Carlos, Chi, Seokho, Gong, Jie, & Teizer, Jochen (2006) Intelligent computing and sensing for active safety on construction sites. Lecture Notes in Computer Science, 4200, pp. 101-108.

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Abstract

On obstacle-cluttered construction sites where heavy equipment is in use, safety issues are of major concern. The main objective of this paper is to develop a framework with algorithms for obstacle avoidance and path planning based on real-time three-dimensional job site models to improve safety during equipment operation. These algorithms have the potential to prevent collisions between heavy equipment vehicles and other on-site objects. In this study, algorithms were developed for image data acquisition, real-time 3D spatial modeling, obstacle avoidance, and shortest path finding and were all integrated to construct a comprehensive collision-free path. Preliminary research results show that the proposed approach is feasible and has the potential to be used as an active safety feature for heavy equipment.

Impact and interest:

1 citations in Scopus
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1 citations in Web of Science®

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ID Code: 47337
Item Type: Journal Article
Keywords: obstacle avoidance, path planning, safety of equipment operation
DOI: 10.1007/11888598_11
ISBN: 9783540462460
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 2006 Springer-Verlag Berlin Heidelberg
Copyright Statement: Lecture Notes in Computer Science, published by Springer Verlag, are available via SpringerLink http://www.springer.de/comp/lncs/
Deposited On: 30 Nov 2011 10:35
Last Modified: 01 Dec 2011 21:21

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