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- W2099274168 abstract "Inspectors need accurate and efficient methods for obtaining geometric information about facilities for construction and infrastructure management. Laser scanners can capture millions of 3D points, which have mm accuracy, in minutes, and hence can streamline extraction of geometric information. Currently, extraction of geometric information is done manually. This paper describes a case study, which shows that manual approach is inefficient and error-prone. Aiming at improving the efficiency and effectiveness of extracting survey goals, this paper discusses computer interpretable representations of surveying goals as a first step towards extraction of surveying goals. The described approach targets enabling surveyors to compose surveying goals as tuples. Reasoning mechanisms can transform user-defined surveying goals described by these tuples into a sequence of measurement operations to generate results." @default.
- W2099274168 created "2016-06-24" @default.
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- W2099274168 date "2009-04-01" @default.
- W2099274168 modified "2023-09-28" @default.
- W2099274168 title "Extracting Surveying Goals from Point Clouds to Support Construction and Infrastructure Inspection" @default.
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- W2099274168 doi "https://doi.org/10.1061/41020(339)118" @default.
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