Please use this identifier to cite or link to this item: http://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
Source: 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)

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