Author

George Kampis, Paul Lukowicz

Abstract

Collaborative localization is the computation of improved spatial coordinates in mobile agents based on their physical meetings in a pedestrian dead reckoning (PDR) system. Upon meeting the agents can exchange information about their subjective position and update it based on a simple algorithm. We show in a simulation model that the localization error diverges unless this algorithm is introduced in which case it remains bounded. We consider collaborative localization as an example of broader incremental knowledge fusion and discuss its various implications such as the importance of well-informed agents.   [Download]

BibTex

@inproceedings {Kampis:Collaborative:2014:7840,
	number = {}, 
	month = {11}, 
	year = {2014}, 
	title = {Collaborative localization as a paradigm for incremental knowledge fusion}, 
	journal = {}, 
	volume = {}, 
	pages = {327-331}, 
	publisher = {IEEE}, 
	author = {George Kampis, Paul Lukowicz}, 
	keywords = {}
}