Title :
Relative positioning technology
Author :
Beigl, Michael ; Lukowicz, Paul
Author_Institution :
Tech. Univ. Braunschweig, Passau
fDate :
Sept. 28 2008-Oct. 1 2008
Abstract :
In contrast to infrastructure supported location systems, relative positioning technology identifies the relative position of objects to each other solely based on local sensors and processing only. This tutorial provides background and hands-on experience over sensor technologies and modalities, measurement principles, systems, distributed algorithms and applications for relative positioning technologies. It will also give hands on insight to relative positioning using the RELATE relative positioning sensor network platform as an example. The tutorial will also discuss other practical issues as price, constraints for integration and use of relative positioning technology. The tutorial will be suitable also for people not familiar with positioning systems, algorithms and hardware.
Keywords :
image sensors; object recognition; hands-on experience; local sensors; object recognition; relative positioning technology; Hardware; Magnetic sensors; Measurement units; Position measurement; Sensor systems; Sensor systems and applications; Signal processing; Software measurement; Wearable computers; Wearable sensors;
Conference_Titel :
Wearable Computers, 2008. ISWC 2008. 12th IEEE International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-2637-9
DOI :
10.1109/ISWC.2008.4911607