Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/32537
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLawrence, Debbie J.-
dc.contributor.authorKearney, F. (Frank)-
dc.contributor.authorGinsberg, Mark D.-
dc.contributor.authorMasters, Larry.-
dc.contributor.authorConstruction Engineering Research Laboratory (U.S.)-
dc.date.accessioned2019-04-11T18:26:28Z-
dc.date.available2019-04-11T18:26:28Z-
dc.date.issued1988-08-
dc.identifier.govdocUSA-CERL Technical Report M-88/14-
dc.identifier.urihttps://hdl.handle.net/11681/32537-
dc.descriptionTechnical Reporten_US
dc.description.abstractMilitary construction, like the private industry, needs improved methods by which: (1) quality can be assured throughout the construction process, (2) the degree of construction progress can be assessed and documented, and (3) the performance of systems and materials can be assessed over time to aid in maintenance decision-making. Although these aspects of construction processes have traditionally been addressed through an empirical approach, recent advances in computer technology have provided new opportunities for improving upon the traditional methods. The U.S. Army Construction Engineering Research Laboratory (USA-CERL) is exploring the use of a sequential construction analyzer (SCA) to improve quality assurance, allow for more effective tracking of construction progress, and provide data for making decisions about maintenance. The SCA is a computer-based system that uses images obtained via various types of cameras to enhance the image data into useful information. This study was conducted to identify potential applications of the SCA in three areas of construction: buildings, construction sites, and paving. Many possibilities exist for applying this technology to the construction industry. The SCA concept is being optimized at USA-CERL, and a prototype is under development. When the prototype has been field-tested successfully, it will be used to develop specific applications for the Army and private industry.-
dc.description.sponsorshipThis work was performed for the Directorate of Engineering and Construction, Headquarters, U.S. Army Corps of Engineers (HQUSACE), under Project 4A162731AT41, "Military Facilities Engineering Technology"; Work Unit B0-042, "Techniques to Improve QC/QA Effectiveness."-
dc.description.tableofcontentsDD FORM 1473-1 FOREWORD-3 1 INTRODUCTION- 5 Background Objective Approach Scope Mode of Technology Transfer 2 IMAGE-PROCESSING TECHNOLOGY -7 Terminology for Image Processing Image-Processing Hardware Classifying Algorithms Point Processes Area Processes Nonlinear Area Processes Pattern and Object Identification Geometric Processes Frame Processes Construction-Related Capabilities 3 SYSTEMATIC ANALYSIS OF IMAGE- PROCESSING APPLICATIONS IN CONSTRUCTION -16 Classification by Visual Medium Classification by Visual Function Classification by Chronological Impact on Building Life Cycle Classification by Building Subsystem 4 DEVELOPMENT PROCESS FOR TYPICAL . SCA APPLICATION: OVERVIEW -31 Numerical Complexities Two Different Development Strategies 5 CONCLUSIONS AND RECOMMENDATIONS -35 REFERENCES-36 DISTRIBUTION-
dc.format.extent42 pgs / 4.211Mb-
dc.format.mediumPDF/A-
dc.language.isoen_USen_US
dc.publisherConstruction Engineering Research Laboratory (U.S.)en_US
dc.relation.ispartofseriesTechnical Report (Construction Engineering Research Laboratory (U.S.));no. M-88/14-
dc.rightsApproved for public release; distribution is unlimited-
dc.sourceThe ERDC Library created this digital resource using one or more of the following: Zeta TS-0995, Zeutcehl OS 12000, HP HD Pro 42-in. map scanner, Epson flatbed-
dc.subjectImage processingen_US
dc.subjectQuality assuranceen_US
dc.titleReal-Time Imaging for Construction Site Metrologyen_US
dc.typeReport-
Appears in Collections:Technical Report

Files in This Item:
File Description SizeFormat 
USA-CERL Technical Report M-88-14.pdf4.31 MBAdobe PDFThumbnail
View/Open