Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization

Chai, Nee Ping (2018) Smartphone-based GPS-integrated Location Prediction Model for OBD-II-Equipped Land Vehicle Localization. PhD thesis, Universiti Malaysia Sarawak.

[img] PDF
Chai Nee Ping ft.pdf
Download (3MB)
Item Type: Thesis (PhD)
Additional Information: Thesis PhD -- Universiti Malaysia Sarawak, 2018.
Uncontrolled Keywords: Smartphone-based, GPS; OBD-II, Vehicle’s Heading Direction, Location Prediction Model, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, Postgraduate, research, Universiti Malaysia Sarawak.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 14 May 2019 07:45
Last Modified: 02 Jul 2025 07:51
URI: http://ir.unimas.my/id/eprint/24835

Actions (For repository members only: login required)

View Item View Item
UNIMAS Institutional Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.