Name
Title | ||
|---|---|---|
The Marulan Data Sets: Multi-sensor Perception in a Natural Environment with Challenging Conditions |
Abstract | ||
|---|---|---|
In this paper we present large, accurately calibrated and time-synchronized data sets, gathered outdoors in controlled and variable environmental conditions, using an unmanned ground vehicle (UGV), equipped with a wide variety of sensors. These include four 2D laser scanners, a radar scanner, a color camera and an infrared camera. It provides a full description of the system used for data collection and the types of environments and conditions in which these data sets have been gathered, which include the presence of airborne dust, smoke and rain. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1177/0278364910384638 | The International Journal of Robotics Research |
Keywords | Field | DocType |
Range sensing,computer vision,sensor data fusion,field robots | Radar,Computer vision,Data collection,Data set,Computer science,Remote sensing,Unmanned ground vehicle,Laser,Sensor fusion,Scanner,Artificial intelligence,Mobile robot | Journal |
Volume | Issue | ISSN |
29 | 13 | 0278-3649 |
Citations | PageRank | References |
15 | 1.11 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thierry Peynot | 1 | 107 | 14.82 |
| Steve Scheding | 2 | 165 | 38.78 |
| Sami Terho | 3 | 15 | 1.78 |