Intelligent computing and sensing for active safety on construction sites
Data(s) |
2006
|
---|---|
Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Springer |
Relação |
http://eprints.qut.edu.au/47337/4/41474_accepted.pdf DOI:10.1007/11888598_11 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. |
Direitos |
Copyright 2006 Springer-Verlag Berlin Heidelberg Lecture Notes in Computer Science, published by Springer Verlag, are available via SpringerLink http://www.springer.de/comp/lncs/ |
Fonte |
Faculty of Built Environment and Engineering; School of Urban Development |
Palavras-Chave | #120201 Building Construction Management and Project Planning #obstacle avoidance #path planning #safety of equipment operation |
Tipo |
Journal Article |