Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156687
Title: Crowd sourcing and pedestrian dead reckoning for indoor localization
Authors: Kang, Edan Bao Feng
Keywords: Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Kang, E. B. F. (2022). Crowd sourcing and pedestrian dead reckoning for indoor localization. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156687
Project: SCSE21-0137
Abstract: Indoor positioning systems are complicated by the lack of available GPS signals. Current solutions and implementations to solve this gap in information is filled by Bluetooth and Wi-Fi. However, these systems have difficulty in collecting sufficient data required for a more accurate tracking of a user moving. In addition, a large amount of hours and manpower is required to collect these data. An extension the current solution is developed to use crowdsourced data from nearby mobile devices to act as Bluetooth Beacons that allows receiving device to use the information gathered from nearby mobile devices to get an alternative location of the user.
URI: https://hdl.handle.net/10356/156687
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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