Abstract
This thesis proposes a new indoor localization techniques that fuses pedestrian dead reckoning with encounter information. Encounter is detected by proximity sensing using short-range radio frequency(RF) also used for communication. Our work builds on conditional random fields(CRFs) for the lower computational complexity than the traditional particle filtering by incorporating information exchanged from the encounter, including the trajectory and proximity. Experimental results show that we further lower the complexity and expand location coverage.