Name
Abstract | ||
|---|---|---|
This paper surveys the most recent published techniques in the field of Simultaneous Localization and Mapping (SLAM). In particular it is focused on the existing techniques available to speed up the process, with the purpose to handel large scale scenarios. The main research field we plan to investigate is the filtering algorithms as a way of reducing the amount of data. It seems that almost all the current approaches can not perform consistent maps for large areas, mainly due to the increase of the computational cost and due to the uncertainties that become prohibitive when the scenario becomes larger. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.3233/978-1-58603-925-7-363 | Catalonian Conference on AI |
Keywords | Field | DocType |
existing technique,large scale scenario,simultaneous localization,. slam,recent published technique,current approach,consistent map,large area,main research field,slam problem,kalman filter,expectation maximization,computational cost,particle filter,paper survey,simultaneous localization and mapping | Computer vision,Expectation–maximization algorithm,Computer science,Particle filter,Algorithm,Filter (signal processing),Kalman filter,Artificial intelligence,Simultaneous localization and mapping,Speedup | Conference |
Volume | ISSN | Citations |
184 | 0922-6389 | 40 |
PageRank | References | Authors |
2.13 | 24 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Josep Aulinas | 1 | 40 | 3.15 |
| Yvan R. Petillot | 2 | 112 | 10.72 |
| Joaquim Salvi | 3 | 1443 | 93.90 |
| Xavier Lladó | 4 | 241 | 15.14 |