Name
Title | ||
|---|---|---|
Positioning Locality Using Cognitive Directions Based on Indoor Landmark Reference System. |
Abstract | ||
|---|---|---|
Locality descriptions are generally communicated using reference objects and spatial relations that reflect human spatial cognition. However, uncertainty is inevitable in locality descriptions. Positioning locality with locality description, with a mapping mechanism between the qualitative and quantitative data, is one of the important research issues in next-generation geographic information sciences. Spatial relations play an important role in the uncertainty of positioning locality. In indoor landmark reference systems, the nearest landmarks can be selected when describing localities by using direction relations indoors. By using probability operation, we combine a set of uncertainties, that is, near and direction relations to positioning locality. Some definitions are proposed from cognitive and computational perspectives. We evaluate the performance of our method through indoor cognitive experiments. Test results demonstrate that a positioning accuracy of 3.55 m can be achieved with the semantically derived direction relationships in indoor landmark reference systems. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/s18041049 | SENSORS |
Keywords | Field | DocType |
locality description,positioning locality indoors,uncertainty,spatial relations,indoor landmark reference system | Spatial relation,Locality,Information retrieval,Information science,Spatial cognition,Electronic engineering,Engineering,Landmark,Cognition | Journal |
Volume | Issue | ISSN |
18 | 4.0 | 1424-8220 |
Citations | PageRank | References |
0 | 0.34 | 19 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yankun Wang | 1 | 1 | 1.03 |
| Hong Fan | 2 | 11 | 4.96 |
| Ruizhi Chen | 3 | 402 | 55.33 |
| Huan Li | 4 | 97 | 14.75 |
| Luyao Wang | 5 | 4 | 4.20 |
| Kang Zhao | 6 | 30 | 5.07 |
| Wu Du | 7 | 0 | 0.68 |