WLAN-Based Pedestrian Tracking Using Particle Filters and Low-Cost MEMS Sensors
Abstract:
Indoor positioning systems based on Wireless LAN (WLAN) are being widely investigated in academia and industry. Meanwhile, the emerging low-cost MEMS sensors can also be used as another independent positioning source. In this paper, we propose a pedestrian tracking framework based on particle filters, which extends the typical WLAN-based indoor positioning systems by integrating low-cost MEMS accelerometer and map information. Our simulation and real world experiments indicate a remarkable performance improvement by using this fusion framework.
| Zugehörige Institution(en) am KIT | Institut für Anthropomatik (IFA) |
| Publikationstyp | Proceedingsbeitrag |
| Jahr | 2007 |
| Sprache | Englisch |
| Identifikator | ISBN: 1-4244-0871-7 KITopen-ID: 1000034843 |
| Erschienen in | Workshop on Positioning, Navigation and Communication, (WPNC 2007), Hanover, Germany, March, 2007 |
| Verlag | IEEE, Oscataway |
| Seiten | 7 S. |