Name
Abstract | ||
|---|---|---|
A basic task of rescue robot systems is mapping of the environment. Localizing injured persons, guiding rescue workers and excavation equipment requires a precise 3D map of the environment. This paper presents a new 3D laser range finder and novel scan matching method for the robot Kurt3D [9]. Compared to previous machinery [12], the apex angle is enlarged to 360°. The matching is based on semantic information. Surface attributes are extracted and incorporated in a forest of search trees in order to associate the data, i.e., to establish correspondences. The new approach results in advances in speed and reliability. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11780519_30 | RoboCup 2009 |
Keywords | Field | DocType |
excavation equipment,apex angle,rescue robot system,laser range finder,new approach result,matching method,semantic knowledge,injured person,basic task,guiding rescue worker,robot kurt3d | Semantic memory,Computer vision,Knowledge representation and reasoning,3d mapping,Simulation,Rescue robot,Computer science,Artificial intelligence,Robot,Mobile robot,Robotics,Search tree | Conference |
Volume | ISSN | ISBN |
4020 | 0302-9743 | 3-540-35437-9 |
Citations | PageRank | References |
26 | 1.32 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Nüchter | 1 | 1341 | 90.03 |
| Oliver Wulf | 2 | 162 | 14.27 |
| Kai Lingemann | 3 | 555 | 35.98 |
| Joachim Hertzberg | 4 | 1571 | 142.29 |
| Bernardo Wagner | 5 | 159 | 18.30 |
| Hartmut Surmann | 6 | 699 | 50.40 |