Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Extracting Surveying Goals from Point Clouds to Support Construction and Infrastructure Inspection
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 〈facility parts, features, operations〉 tuples. Reasoning mechanisms can transform user-defined surveying goals described by these tuples into a sequence of measurement operations to generate results.
Extracting Surveying Goals from Point Clouds to Support Construction and Infrastructure Inspection
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 〈facility parts, features, operations〉 tuples. Reasoning mechanisms can transform user-defined surveying goals described by these tuples into a sequence of measurement operations to generate results.
Extracting Surveying Goals from Point Clouds to Support Construction and Infrastructure Inspection
Tang, Pingbo (Autor:in) / Akinci, Burcu (Autor:in)
Construction Research Congress 2009 ; 2009 ; Seattle, Washington, United States
Building a Sustainable Future ; 1164-1173
01.04.2009
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Extracting Surveying Goals from Point Clouds to Support Construction and Infrastructure Inspection
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