Collaborative Localization using Conditional Random Fields upon Encounter
碩士 === 國立清華大學 === 資訊工程學系 === 103 === 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...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2015
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/85745239500068949591 |
| Summary: | 碩士 === 國立清華大學 === 資訊工程學系 === 103 === 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.
|
|---|