Abstract
Recent advances in sensing and computing technologies have inspired a new generation of mobile positioning systems. Compared with traditional wireless positioning systems, the newly emerged systems are characterized by the integration of mobility measurement into positioning. For a given mobile user, its mobility can be measured with two types of sensors: motion sensors and image sensors. Correspondingly, two types of positioning systems have been developed: movement-based positioning systems and vision-based positioning systems. This paper provides an overview of these two types of systems. For each category, we first introduce the underlying principle; then, we present a comparison of some representative systems in terms of the infrastructure and performance; finally, we analyze the major problems encountered in the system design and outline some future research directions.
| Original language | English |
|---|---|
| Article number | 6709788 |
| Pages (from-to) | 1249-1259 |
| Number of pages | 11 |
| Journal | IEEE Systems Journal |
| Volume | 8 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Dec 2014 |
Keywords
- Computer vision
- dead reckoning (DR)
- inertial navigation (IN)
- mobile positioning
- wireless positioning
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