Crowd sourcing and pedestrian dead reckoning for indoor localization

• Main Author: Kang, Edan Bao Feng
• Other Authors: Oh Hong Lye
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
• Online Access: https://hdl.handle.net/10356/156687
• Institution: Nanyang Technological University

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.