Modeling object identification and tracking errors on image-based safety assessment of earthmoving operations

Chi, Seokho & Caldas, Carlos (2010) Modeling object identification and tracking errors on image-based safety assessment of earthmoving operations. In Proceedings of 27th International Symposium on Automation and Robotics in Construction (ISARC 2010), Bratislava, Slovakia.


Object identification and tracking have become critical for automated on-site construction safety assessment. The primary objective of this paper is to present the development of a testbed to analyze the impact of object identification and tracking errors caused by data collection devices and algorithms used for safety assessment. The testbed models workspaces for earthmoving operations and simulates safety-related violations, including speed limit violations, access violations to dangerous areas, and close proximity violations between heavy machinery. Three different cases were analyzed based on actual earthmoving operations conducted at a limestone quarry. Using the testbed, the impacts of device and algorithm errors were investigated for safety planning purposes.

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ID Code: 41477
Item Type: Conference Paper
Refereed: Yes
Keywords: object identification and tracking, construction safety, automated safety assessment, error impact analysis
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2010 [please consult the authors]
Deposited On: 29 Apr 2011 00:25
Last Modified: 13 Jul 2017 03:52

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