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A Constructability Lessons Learned System for Infrastructure Rehabilitation Using Digital Image Processing

by Jorge A. Vanegas, Purdue Univ, West Lafayette, United States,



Document Type: Proceeding Paper

Part of: Digital Image Processing: Techniques and Applications in Civil Engineering

Abstract:

Due to the complex nature of many infrastructure rehabilitation projects, there is a strong need for design/construction integration, and more specifically, the application of strong constructability programs. A key element for the success of these programs is the implementation of a system for the acquisition, storage and retrieval of constructability lessons learned from all members of the complete project team (i.e., owners, designers and constructors). This paper describes a conceptual framework and prototype for a digital image processing-based system for Constructability Lessons Learned for Infrastructure Rehabilitation (CL²IR). The paper discusses the principal design, development, and implementation issues for CL²IR.

Subject Headings: Constructability | Rehabilitation | Infrastructure | Computer vision and image processing | Signal processing | Project management | Infrastructure construction

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