Name
Abstract | ||
|---|---|---|
In this paper, we develop an observation device to measure a 3D position for a moving object by using a laser range finder and a CCD camera. Then, we propose new method for the object recognition and the tracking control, respectively. As for the recognition, we use a special mark which is called the cross mark. For the tracking control, we construct PID control with an extended Kalman filter to realize control system without delay. Through some experiments, we verify performance of observation device and show availability of our proposed method. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IROS.2006.281999 | 2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12 |
Keywords | Field | DocType |
feedback,pid control,object recognition,extended kalman filter,control system,ccd camera,kalman filters | Computer vision,Extended Kalman filter,PID controller,Computer science,Tracking system,Control engineering,Kalman filter,Video tracking,Artificial intelligence,Control system,Hook,Cognitive neuroscience of visual object recognition | Conference |
Citations | PageRank | References |
4 | 0.61 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shunsuke Nara | 1 | 4 | 0.94 |
| Daisuke Miyamoto | 2 | 5 | 1.63 |
| Satoru Takahashi | 3 | 9 | 1.56 |
| Shun'ichi Kaneko | 4 | 230 | 35.34 |