Name
Abstract | ||
|---|---|---|
This paper proposes a method to solve the Simultaneous Localization and Map Building problem based on segments extracted from local sonar based occupation maps. These segments are categorized as new obstacle boundaries of a simultaneously built global segment-based map or as prolongations of previously extracted boundaries. The method is adequate for indoor office-like environments, specially for those environments that can, be suitable modelled by a set of segments. The method has been proved in several experiments in the same indoor environment with successful results. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/RAMECH.2004.1438027 | 2004 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2 |
Keywords | Field | DocType |
feature extraction,path planning,image segmentation,mobile robots | Motion planning,Computer vision,Obstacle,Simultaneous localization and map building,Sonar,Feature extraction,Image segmentation,Artificial intelligence,Engineering,Simultaneous localization and mapping,Mobile robot | Conference |
Citations | PageRank | References |
4 | 0.42 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Manuel Prez Lorenzo | 1 | 4 | 0.42 |
| Ricardo Vázquez Martín | 2 | 17 | 2.02 |
| Pedro Núñez | 3 | 71 | 7.50 |
| E. J. Perez | 4 | 55 | 3.88 |
| Francisco Sandoval Hernández | 5 | 771 | 104.15 |