Date of Award
Honors Thesis (Open Access)
Colby College. Computer Science Dept.
Dr. Ying Li
Localization of phones is a ubiquitous part of the modern mobile electronics landscape. However, there are many situations where the current method of networked localization fails. A Pedestrian Dead Reckoning System where the location of the user is calculated by counting the steps and direction of the user was implemented as an iOS app with python for data analysis. A novel algorithm for wireless sensor localization using Ad-Hoc Bluetooth networks was proposed. A small experiment was performed proving that the system is nearly equal to state of the art algorithms.
Localization, Pedestrian Dead Reckoning, iOS, Networks, Bluetooth, Mobile Computing
Recommended CitationMurphy, Akira T., "Correcting Pedestrian Dead Reckoning with Monte Carlo Localization Boxed for Indoor Navigation" (2017). Honors Theses. Paper 861.