Name
Title | ||
|---|---|---|
Experiments in robust bistatic sonar object classification for local environment mapping |
Abstract | ||
|---|---|---|
Presents the classification results of a bistatic sonar sensor with decision tree classifier for use in mobile robot navigation. Unlike previous work the paper investigates the discrimination and robustness of the sensor's classifications when presented with common office objects with complex geometries. The feature extraction process uses a novel perturbed L2 method which allows a physical interpretation of the features. The robustness of the classifications indicate that, given a suitably enlarged set of training objects, the approach would be suitable for use within office environments. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ROBOT.2001.932924 | Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference |
Keywords | Field | DocType |
acoustic transducers,decision trees,feature extraction,mobile robots,path planning,piezoelectric transducers,signal classification,sonar,complex geometries,decision tree classifier,local environment mapping,mobile robot navigation,office environments,office objects,perturbed L2 method,robust bistatic sonar object classification | Computer vision,Feature extraction,Robustness (computer science),Sonar,Artificial intelligence,Engineering,Mobile robot navigation,Decision tree learning,Reflection mapping,Mobile robot,Bistatic sonar | Conference |
Volume | Issue | ISSN |
2 | 1 | 1050-4729 |
ISBN | Citations | PageRank |
0-7803-6576-3 | 3 | 0.42 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ian P. W. Sillitoe | 1 | 3 | 0.42 |
| Magnus Lundin | 2 | 3 | 0.42 |
| Stefano Caselli | 3 | 314 | 36.32 |
| Domenico Ferraro | 4 | 3 | 0.42 |