Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Automatic Defect Detection and Recognition for Asset Condition Assessment: A Case Study on Sewer Pipeline Infrastructure System
This paper presents the preliminary results of a research project that seeks to investigate the use of advanced image processing, computer vision and pattern recognition technologies, to facilitate asset inspection and condition assessment of sewer pipeline infrastructure. This research aims to provide a basis for sewer pipeline inspection and condition assessment, enabling automatic detection and recognition of defects and/or critical features from sewer pipeline inspection videos and images. An approach for automatic detection and recognition is presented in this paper. The major steps of the approach are illustrated by examples using actual sewer inspection visual data.
Automatic Defect Detection and Recognition for Asset Condition Assessment: A Case Study on Sewer Pipeline Infrastructure System
This paper presents the preliminary results of a research project that seeks to investigate the use of advanced image processing, computer vision and pattern recognition technologies, to facilitate asset inspection and condition assessment of sewer pipeline infrastructure. This research aims to provide a basis for sewer pipeline inspection and condition assessment, enabling automatic detection and recognition of defects and/or critical features from sewer pipeline inspection videos and images. An approach for automatic detection and recognition is presented in this paper. The major steps of the approach are illustrated by examples using actual sewer inspection visual data.
Automatic Defect Detection and Recognition for Asset Condition Assessment: A Case Study on Sewer Pipeline Infrastructure System
Guo, W. (Autor:in) / Soibelman, L. (Autor:in) / Garrett, Jr., J. H. (Autor:in)
International Workshop on Computing in Civil Engineering 2007 ; 2007 ; Pittsburgh, Pennsylvania, United States
Computing in Civil Engineering (2007) ; 419-426
23.07.2007
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
| British Library Conference Proceedings | 2007
Automated defect detection for sewer pipeline inspection and condition assessment
| British Library Online Contents | 2009
Automated defect detection for sewer pipeline inspection and condition assessment
| Online Contents | 2009
Review on Computer Aided Sewer Pipeline Defect Detection and Condition Assessment
| DOAJ | 2019