Name
Abstract | ||
|---|---|---|
Accurate world modeling is important for efficient multi-robot planning in robot soccer. Visual detection of the robots on the field in addition to all other objects of interest is crucial to achieve this goal. The problem of robot detection gets even harder when robots with only on board sensing capabilities, limited field of view, and restricted processing power are used. This work extends the real-time object detection framework proposed by Viola and Jones, and utilizes the unique chest and head patterns of Nao humanoid robots to detect them in the image. Experiments demonstrate rapid detection with an acceptably low false positive rate, which makes the method applicable for real-time use. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-20217-9_35 | robot soccer world cup |
Keywords | Field | DocType |
visual detection,robot detection,haar-like feature,robot soccer,real-time use,limited field,efficient multi-robot planning,accurate world modeling,real-time object detection framework,nao humanoid robot,rapid detection,humanoid robot,real time,false positive rate,field of view | Field of view,False positive rate,Object detection,Computer vision,Viola–Jones object detection framework,Simulation,Computer science,Haar-like features,Artificial intelligence,Cascade,Robot,Humanoid robot | Conference |
Citations | PageRank | References |
1 | 0.44 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. Serhan Daniş | 1 | 1 | 0.44 |
| Tekin Meriçli | 2 | 45 | 6.06 |
| Ç etin Meriçli | 3 | 1 | 0.44 |
| H. Levent Akin | 4 | 146 | 21.98 |