Name
Abstract | ||
|---|---|---|
We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a different approach based on a deep neural network used as a supervised image classifier. By operatin... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LRA.2015.2509024 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Cameras,Robot vision systems,Roads,Visual perception,Mobile robots,Image segmentation | Robot learning,Computer vision,Segmentation,Salience (neuroscience),Image segmentation,Artificial intelligence,Deep learning,Engineering,Artificial neural network,Contextual image classification,Machine learning,Mobile robot | Journal |
Volume | Issue | ISSN |
1 | 2 | 2377-3766 |
Citations | PageRank | References |
36 | 1.73 | 0 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Giusti | 1 | 1023 | 92.34 |
| Jerome Guzzi | 2 | 80 | 10.00 |
| Dan Claudiu Ciresan | 3 | 2647 | 253.30 |
| Fang-Lin He | 4 | 36 | 1.73 |
| Juan P. Rodriguez | 5 | 36 | 1.73 |
| Flavio Fontana | 6 | 81 | 5.19 |
| Matthias Faessler | 7 | 145 | 8.66 |
| Christian Forster | 8 | 697 | 29.01 |
| Jürgen Schmidhuber | 9 | 17836 | 1238.63 |
| Gianni A. Di Caro | 10 | 721 | 51.79 |
| Davide Scaramuzza | 11 | 2704 | 154.51 |
| Luca Maria Gambardella | 12 | 7926 | 726.40 |