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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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.
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|Item Type:||Journal Article|
|Keywords:||obstacle avoidance, path planning, safety of equipment operation|
|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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- Intelligent computing and sensing for active safety on construction sites. (deposited 29 Apr 2011 14:46)
- Intelligent computing and sensing for active safety on construction sites. (deposited 30 Nov 2011 10:35)[Currently Displayed]
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