Name
Abstract | ||
|---|---|---|
In this paper we propose a new feature detection algorithm to enable junction recognition intended for high speed reactive navigation in tunnel like environments. We also present an extensive experimental evaluation of the algorithm based on data recorded in a real mine. The algorithm is faster and has less environmental constraints than similar algorithms that can be found in the litterature. I. INTRODUCTION |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IROS.2008.4650911 | Nice |
Keywords | Field | DocType |
industrial robots,laser beam applications,mining,mobile robots,navigation,feature detection algorithm,junction recognition,laser based intersection detection,mobile robot,reactive navigation,tunnel like environments,underground mine | Distance measurement,Computer vision,Feature detection,Computer science,Laser,Feature extraction,Artificial intelligence,Robot,Statistical classification,Mobile robot | Conference |
ISBN | Citations | PageRank |
978-1-4244-2057-5 | 4 | 0.46 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johan Larsson | 1 | 51 | 5.32 |
| Mathias Broxvall | 2 | 301 | 25.54 |
| Alessandro Saffiotti | 3 | 2755 | 284.17 |