Name
Abstract | ||
|---|---|---|
This work aims at developing a solution to aid concrete dam inspections using unmanned aerial vehicle (UAV) imagery and DCNN-based (deep convolutional neural network) object detection. This paper introduces materials used to create the Sentinel dataset, which is a heterogeneous dataset that contains 304 images on the training set and 316 images on the test set from a roller-compacted concrete wate... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IST50367.2021.9651348 | 2021 IEEE International Conference on Imaging Systems and Techniques (IST) |
Keywords | DocType | ISBN |
Training,Dams,Object detection,Detectors,Inspection,Autonomous aerial vehicles,Safety | Conference | 978-1-7281-7371-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandre R De Mello | 1 | 0 | 0.34 |
| Flávio G O Barbosa | 2 | 0 | 0.34 |
| Murilo L Fonseca | 3 | 0 | 0.34 |
| Camila D Smiderle | 4 | 0 | 0.34 |