Name
Title | ||
|---|---|---|
Online, self-supervised vision-based terrain classification in unstructured environments |
Abstract | ||
|---|---|---|
Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICSMC.2009.5345942 | SMC |
Keywords | Field | DocType |
learning (artificial intelligence),remotely operated vehicles,robot vision,stereo image processing,terrain mapping,machine-learning techniques,near-field stereo information,robot,self-supervised learning,stereo vision,terrain classification,unmanned ground vehicles,unstructured environments,online,self-supervised learning,stereo vision | Remotely operated underwater vehicle,Computer vision,Stereo cameras,Machine vision,Computer science,Stereopsis,Terrain,Feature extraction,Artificial intelligence,Statistical classification,Robot,Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 2 | 0.40 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peyman Moghadam | 1 | 165 | 12.92 |
| Wijerupage Sardha Wijesoma | 2 | 165 | 15.48 |