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.
This is the latest version of this eprint.
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:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|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 00:35|
|Last Modified:||01 Dec 2011 11:21|
Available Versions of this Item
Intelligent computing and sensing for active safety on construction sites. (deposited 29 Apr 2011 04:46)
- Intelligent computing and sensing for active safety on construction sites. (deposited 30 Nov 2011 00:35) [Currently Displayed]
Repository Staff Only: item control page