Efficient, generalized indoor WiFi GraphSLAM

The widespread deployment of wireless networks presents an opportunity for localization and mapping using only signal-strength measurements. The current state of the art is to use Gaussian process latent variable models (GP-LVM). This method works well, but relies on a signature uniqueness assumptio...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Huang, Joseph, Millman, David, Quigley, Morgan, Stavens, David, Thrun, Sebastian, Aggarwal, Alok
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational modeling Gaussian processes IEEE 802.11 Standards Noise measurement Reactive power Simultaneous localization and mapping
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!