Abstract
Inertial localization system has a drifting problem for a long period. In this paper, the difference method is proposed to reduce the drifting influence; the triangle localization method and the mapping method are also proposed to make up vision localization system that can give exact localization information without camera calibration, but may lose signal some time. To solve the problems in inertial localization and vision localization, inertial/vision localization system proposed here not only solves the drift accumulation problem but also improves the localization precision. Inertial/ vision system and vision system are tested to make sure if inertial/vision system makes a good job in providing localization information. The results show the effectiveness and the robustness of inertial/ vision system.
| Original language | English |
|---|---|
| Pages (from-to) | 242-246 |
| Number of pages | 5 |
| Journal | Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology |
| Volume | 33 |
| Issue number | SUPPL. 1 |
| Publication status | Published - Aug 2009 |
Keywords
- Inertial positioning
- Integrated positioning
- Robots
- Vision positioning