Name
Abstract | ||
|---|---|---|
The internal inspection of large pipeline infrastructures, such as sewers and waterworks, is a fundamental task for the prevention of possible failures. In particular, visual inspection is typically performed by human operators on the basis of video sequences either acquired on-line or recorded for further off-line analysis. In this work, we propose a vision-based software approach to assist the h... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TII.2018.2873237 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Cameras,Inspection,Pipelines,Visualization,Optics,Sensors,Task analysis | Visual inspection,Pipeline transport,Human operator,Task analysis,Visualization,Computer science,Vision based,Real-time computing,Software,Operator (computer programming) | Journal |
Volume | Issue | ISSN |
15 | 6 | 1551-3203 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claudio Piciarelli | 1 | 158 | 14.62 |
| Danilo Avola | 2 | 134 | 25.14 |
| Daniele Pannone | 3 | 8 | 4.57 |
| Gian Luca Foresti | 4 | 44 | 7.06 |