Name
Abstract | ||
|---|---|---|
This paper presents a computer vision guidance system for agricultural vehicles. This system is based on a segmentation algorithm that uses an optimum threshold function in terms of minimum quadratic value over a discriminant based on the Fisher lineal discriminant. This system has achieved not only very interesting results in the sense of segmentation, but it has also guided successfully a vehicle in a real world environment. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-77046-6_21 | PReMI |
Keywords | Field | DocType |
segmentation algorithm,computer vision guidance system,automatic guidance,real world environment,fisher lineal discriminant,optimum threshold function,minimum quadratic value,interesting result,agricultural vehicle,computer vision | Automatic guidance,Computer vision,Pattern recognition,Computer science,Segmentation,Discriminant,Quadratic equation,Guidance system,Artificial intelligence,Artificial vision,Tractor,Threshold function | Conference |
Volume | ISSN | ISBN |
4815 | 0302-9743 | 3-540-77045-3 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Moreno Matías | 1 | 0 | 0.34 |
| Jaime Gómez Gil | 2 | 8 | 1.22 |