Name
Abstract | ||
|---|---|---|
The purpose of this work is to give a neural algorithm that allows a controller to determine robot's location within an environment like a building, by observing through a cam- era some elements of the rooms, as for instance the ceiling or the floor; it is natural to suppose that different parts of the digital image sequence coming from the camera would contain less or more useful information to the end of robot motion control: this suggests that in order to improve the efficiency of the control system and to reduce the size of the incoming data, it would be useful to perform a non-uniform image sampling, that is, to extract from the original image some features computed on a number of images' regions. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/IJCNN.1999.832702 | IJCNN |
Keywords | Field | DocType |
digital image,digital images,motion control,control system,control systems,mobile robots,feature extraction,robot control,neural nets | Feature detection (computer vision),Computer science,Image processing,Digital image,Artificial intelligence,Computer vision,Control theory,Pattern recognition,Algorithm,Feature extraction,Robot,Digital image processing,Mobile robot | Conference |
Citations | PageRank | References |
2 | 0.44 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simone Fiori | 1 | 494 | 52.86 |
| Alessandro Faustini | 2 | 2 | 0.44 |
| Pietro Burrascano | 3 | 21 | 4.77 |