Name
Abstract | ||
|---|---|---|
This paper presents a method of map matching that is a scheme for accurate guidance of an electric wheel chair. Indoor navigation seems to require more accurate guidance than outdoor areas, the location estimation by the rotary encoders embedded in the wheel chair cannot be satisfy the accuracy requirement, because estimation error is accumulated as the wheel chair travels. The authors propose the map matching that uses the building structure in order to compensate for accumulated position error. The corner detection and its position information are used for replacement as a correct position. The methods of the corner detection and the calculation model for the correct position are shown, and the validity of the proposed methods are confirmed by the experiment using a laser range finder. |
Year | Venue | Field |
|---|---|---|
2015 | HCI | Rotary encoder,Computer vision,Corner detection,Computer science,Position error,Artificial intelligence,Map matching |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuta Noriduki | 1 | 0 | 0.34 |
| Hirotoshi Shibata | 2 | 0 | 0.34 |
| Shigenori Ioroi | 3 | 9 | 4.41 |
| Hiroshi Tanaka | 4 | 56 | 13.71 |