Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/35559
Title: | Dead Reckoning Algorithms for Indoor Localization | Authors: | ZHANG YU | Keywords: | dead reckoning, indoor localization, step counting | Issue Date: | 29-Mar-2012 | Citation: | ZHANG YU (2012-03-29). Dead Reckoning Algorithms for Indoor Localization. ScholarBank@NUS Repository. | Abstract: | In summary, due to insufficient accurate attitude estimation, strap down techniques are not adequate to use in pedestrians? tracking problem. Instead, DRA-II and DRA-III, which estimate stride lengths by step counting algorithm, provide precise and robust position estimations. They are not complete solutions for the indoor localization problem, as correction technologies are not included. However, these algorithms can be easily integrated into other technologies and therefore the effort has built solid foundations for further extensions. | URI: | http://scholarbank.nus.edu.sg/handle/10635/35559 |
Appears in Collections: | Master's Theses (Open) |
Show full item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
thesis_zhanhy_final_master_V4.pdf | 8.93 MB | Adobe PDF | OPEN | None | View/Download |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.