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- W2932860219 abstract "Smartphone applications that save the locations where vehicles are parked aid users in relocating their vehicles, so individuals are not required to rely solely on their memory and backtracking skills. These applications typically utilise Global Positioning System (GPS) chips in devices and make use of a mapping Application Programming Interface (API) to place markers at parking locations for navigation back to the vehicles positions. A Graphical User Interface (GUI) must be developed to integrate seamlessly with the functionality of the application. Our primary focus is on facilitating the fulfilment of the requirements elucidated for the human-computer interface. During this process, analyses, testing and documentation must be generated to ensure that professional standards are being met, progress can be tracked, and users can understand the system. A complex and innovative non-goal has been incorporated machine learning to recognise the general areas that a user typically parks, with algorithms to detect travel changes in an attempt to find their vehicle if the user has forgotten to manually set their parking location. Value can be added to a parking location application by adding innovative features which competitors have not conceived. These features work behind the scenes of the application to make the task of relocating vehicles and navigation easier for its users." @default.
- W2932860219 created "2019-04-11" @default.
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- W2932860219 date "2018-09-01" @default.
- W2932860219 modified "2023-09-24" @default.
- W2932860219 title "Little Locator: A Smartphone Parking-Location Application" @default.
- W2932860219 doi "https://doi.org/10.1109/gucon.2018.8674936" @default.
- W2932860219 hasPublicationYear "2018" @default.
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