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A Survey on Image-Based Automation of CCTV and SSET Sewer Inspections
Abstract This survey presents an in-depth overview of the last 25 years of research within the field of image-based automation of Closed-Circuit Television (CCTV) and Sewer Scanner and Evaluation Technology (SSET) sewer inspection. The survey investigates both the algorithmic pipeline, and the datasets and corresponding evaluation protocols. As a result of the in-depth survey, several trends within the research field are revealed, discussed, and future research directions are proposed. Based on the conducted survey, we put forth a set of three recommendations, which we believe will further improve and open the research field, as well as make the future research more reproducible: 1) The introduction of free and public benchmark datasets, 2) Standardized evaluation metrics, and 3) Open-sourcing the associated code.
Graphical Abstract Display Omitted
Highlights Reviewed 113 articles on image-based automated sewer inspection methodologies Categorized and reviewed the different stages of the algorithmic pipeline Categorized and reviewed the employed datasets and evaluation protocols Found clear trends regarding the choice of methodology as a function of time Calls for the introduction of standardized metrics, and open benchmark datasets
A Survey on Image-Based Automation of CCTV and SSET Sewer Inspections
Abstract This survey presents an in-depth overview of the last 25 years of research within the field of image-based automation of Closed-Circuit Television (CCTV) and Sewer Scanner and Evaluation Technology (SSET) sewer inspection. The survey investigates both the algorithmic pipeline, and the datasets and corresponding evaluation protocols. As a result of the in-depth survey, several trends within the research field are revealed, discussed, and future research directions are proposed. Based on the conducted survey, we put forth a set of three recommendations, which we believe will further improve and open the research field, as well as make the future research more reproducible: 1) The introduction of free and public benchmark datasets, 2) Standardized evaluation metrics, and 3) Open-sourcing the associated code.
Graphical Abstract Display Omitted
Highlights Reviewed 113 articles on image-based automated sewer inspection methodologies Categorized and reviewed the different stages of the algorithmic pipeline Categorized and reviewed the employed datasets and evaluation protocols Found clear trends regarding the choice of methodology as a function of time Calls for the introduction of standardized metrics, and open benchmark datasets
A Survey on Image-Based Automation of CCTV and SSET Sewer Inspections
Haurum, Joakim Bruslund (Autor:in) / Moeslund, Thomas B. (Autor:in)
12.12.2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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