Name
Abstract | ||
|---|---|---|
Many different path planning methods have been proposed over recent years, although there are only a few that deal with computer vision techniques. In this work we implement a path planning algorithm which takes into account a vision processing system. Thus, we develop a method that uses Mathematical Morphology to provide near-optimal paths throughout an environment. The experiments show that our path planning algorithm is able to locate good solution paths after a training process, which is necessary to fix some parameters. This will make possible its adaptation to a practical robot system. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11504894_9 | IEA/AIE |
Keywords | Field | DocType |
path planning | Motion planning,Optimal trajectory,Vision processing,Mathematical morphology,Computer science,Vision based,Artificial intelligence,Robot,Robotics | Conference |
Volume | ISSN | ISBN |
3533 | 0302-9743 | 3-540-26551-1 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. A. Pujol | 1 | 0 | 0.34 |
| Juan Manuel García Chamizo | 2 | 27 | 5.05 |
| Mar Pujol López | 3 | 4 | 1.82 |
| R. Rizo | 4 | 51 | 14.90 |
| M. J. Pujol | 5 | 0 | 0.34 |