Jog, GM and Brilakis, IK and Angelides, DC (2011) Testing in harsh conditions: Tracking resources on construction sites with machine vision. Automation in Construction, 20. pp. 328-337. ISSN 0926-5805Full text not available from this repository.
When tracking resources in large-scale, congested, outdoor construction sites, the cost and time for purchasing, installing and maintaining the position sensors needed to track thousands of materials, and hundreds of equipment and personnel can be significant. To alleviate this problem a novel vision based tracking method that allows each sensor (camera) to monitor the position of multiple entities simultaneously has been proposed. This paper presents the full-scale validation experiments for this method. The validation included testing the method under harsh conditions at a variety of mega-project construction sites. The procedure for collecting data from the sites, the testing procedure, metrics, and results are reported. Full-scale validation demonstrates that the novel vision tracking provides a good solution to track different entities on a large, congested construction site.
|Uncontrolled Keywords:||Validation Machine vision Photography Video Information technology|
|Divisions:||Div D > Construction Engineering|
|Depositing User:||Unnamed user with email firstname.lastname@example.org|
|Date Deposited:||15 Dec 2015 13:01|
|Last Modified:||11 Feb 2016 06:08|