Name
Title | ||
|---|---|---|
Smartphone-based indoor position and orientation tracking fusing inertial and magnetic sensing |
Abstract | ||
|---|---|---|
Equipped with magnetic field sensor and accelerometer, smartphones offer a novel method for visitors in indoor environments (for example museums). However, this kind of method suffers from accumulated errors over time and high cost of external infrastructures. In this paper, we develop an innovative and low-cost indoor navigation system using various sensors in smartphone. This system consists of an Improved Pedestrian Dead Reckoning (IPDR) part and an error-tolerant magnetic calibration part. Pedestrian position information could be deduced from a magnetic map matching algorithm, combined with IPDR algorithm applying distance estimation and heading estimation. This navigation system requires nothing but a smartphone and it is easy to implement in exhibition scenarios. The preliminary results of experimental measurements in practice present that our algorithm could achieve high accuracy with a promising potential for smartphone-based indoor positioning. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/WPMC.2014.7014819 | WPMC |
Keywords | Field | DocType |
dead reckoning,indoor positioning,pedestrian position information,heading estimation,magnetic map matching algorithm,accelerometer,indoor navigation system,magnetic field sensor,error-tolerant magnetic calibration,location estimation,distance estimation,smartphone-based indoor positioning,accelerometers,magnetic map matching,indoor environments,smart phones,indoor navigation,ipdr,magnetic sensors,improved pedestrian dead reckoning,indoor radio,navigation,estimation,acceleration,approximation algorithms,calibration | Approximation algorithm,Computer vision,Pedestrian,Computer science,Accelerometer,Navigation system,Real-time computing,Dead reckoning,Acceleration,Artificial intelligence,Map matching,Calibration | Conference |
ISSN | Citations | PageRank |
1347-6890 | 4 | 0.45 |
References | Authors | |
9 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cheng-Kai Huang | 1 | 21 | 3.38 |
| Gong Zhang | 2 | 4 | 0.45 |
| Zhuqing Jiang | 3 | 33 | 18.70 |
| Chao Li | 4 | 9 | 2.96 |
| Yupeng Wang | 5 | 10 | 2.32 |
| Xueyang Wang | 6 | 4 | 0.45 |