Predicting movements of onsite workers and mobile equipment for enhancing construction site safety

Zhu, Zhenhua and Park, Man-Woo and Koch, Christian and Soltani, Mohamad and Hammad, Amin and Davari, Khashayar (2016) Predicting movements of onsite workers and mobile equipment for enhancing construction site safety. Automation in Construction, 68 . pp. 95-101. ISSN 0926-5805

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Abstract

Tens of thousands of time-loss injuries and deaths are annually reported from the construction sector, and a high percentage of them are due to the workers being struck by mobile equipment on sites. In order to address this site safety issue, it is necessary to provide proactive warning systems. One critical part in such systems is to locate the current positions of onsite workers and mobile equipment and also predict their future positions to prevent immediate collisions. This paper proposes novel Kalman filters for predicting the movements of the workers and mobile equipment on the construction sites. The filters take the positions of the equipment and workers estimated from multiple video cameras as input, and output the corresponding predictions on their future positions. Moreover, the filters could adjust their predictions based on the worker or equipment's previous movements. The effectiveness of the filters has been tested with real site videos and the results show the high prediction accuracy of the filters.

Item Type: Article
Keywords: Movement prediction; Kalman filtering; construction safety
Schools/Departments: University of Nottingham UK Campus > Faculty of Engineering > Department of Civil Engineering
Identification Number: https://doi.org/10.1016/j.autcon.2016.04.009
Depositing User: Eprints, Support
Date Deposited: 06 Jun 2016 13:14
Last Modified: 14 Sep 2016 15:09
URI: http://eprints.nottingham.ac.uk/id/eprint/33604

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