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

摘要

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