Name
Abstract | ||
|---|---|---|
Localization with respect to a reference model is a key feature for mobile robots. Urban environment offers numerous landmarks that can be used for the localization process. This paper deals with the use of an environment model stored in a geographic information system, to drive a vision system i.e. highlights what to look for and where to look for. This task is achieved by propagating uncertainties along the image acquisition system to highlight some region of interest in the image. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICARCV.2004.1468813 | Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th |
Keywords | Field | DocType |
computer vision,geographic information systems,mobile robots,drive vision systems,error propagation,geographic information system,geometrical model,image acquisition system,localization process,mobile robots | Geographic information system,Computer vision,Propagation of uncertainty,Machine vision,Reference model,Computer science,Urban environment,Artificial intelligence,Region of interest,Mobile robot | Conference |
Volume | ISSN | ISBN |
1 | 2474-2953 | 0-7803-8653-1 |
Citations | PageRank | References |
2 | 0.39 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kais, M. | 1 | 2 | 0.39 |
| Morin, S. | 2 | 4 | 1.02 |
| Arnaud de La Fortelle | 3 | 264 | 31.52 |
| Christian Laugier | 4 | 184 | 28.66 |