Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/158376
Title: | RSS and inertial navigation based indoor localization | Authors: | Chow, Joel Kin Hung | Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2022 | Publisher: | Nanyang Technological University | Source: | Chow, J. K. H. (2022). RSS and inertial navigation based indoor localization. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158376 | Project: | A3237-211 | Abstract: | Indoor localization has been gaining popularity, with its potential use cases it offers due, to the rise of Internet of Things (IoT) and drive for ubiquitous connectivity. On the other hand, recent advancements on phone inertial measurement unit has increased significantly, resulting in more accurate measurements. In this paper, tests are conducted on a Samsung S21 smartphone to determine the accuracy of its accelerometer and gyroscope. The raw IMU data are compared against ground true values and processed for further analysis. A calibration step is also included in the test to reduce the accumulated errors. The paper is able to show even with increase in distance, the localized processed data is shown to be more accurate with calibration. | URI: | https://hdl.handle.net/10356/158376 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
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File | Description | Size | Format | |
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A3237-211.pdf Restricted Access | 3.44 MB | Adobe PDF | View/Open |
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