Name
Abstract | ||
|---|---|---|
This letter presents an approach for semantic place categorization using data obtained from RGB cameras. Previous studies on visual place recognition and classification have shown that by considering features derived from pretrained convolutional neural networks (CNNs) in combination with part-based classification models, high recognition accuracy can be achieved, even in the presence of occlusion... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LRA.2017.2705282 | IEEE Robotics and Automation Letters |
Keywords | DocType | Volume |
Feature extraction,Semantics,Training,Computer architecture,Robustness,Robot sensing systems | Journal | 2 |
Issue | ISSN | Citations |
3 | IEEE Robotics and Automation Letters, Vol. 2, n. 3, July 2017 | 5 |
PageRank | References | Authors |
0.46 | 23 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Massimiliano Mancini | 1 | 24 | 8.86 |
| Samuel Rota Bulò | 2 | 564 | 33.69 |
| Elisa Ricci 0002 | 3 | 1393 | 73.75 |
| Barbara Caputo | 4 | 3298 | 201.26 |