Little locator

a smartphone parking-location application

Joseph Lewis, Robert Abbas, Sam Reisenfeld, Sasa Maric

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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.

Original languageEnglish
Title of host publication2018 International Conference on Computing, Power and Communication Technologies (GUCON)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages188-192
Number of pages5
ISBN (Electronic)9781538644911, 9781538644904
ISBN (Print)9781538644928
DOIs
Publication statusPublished - 2018
EventIEEE International Conference on Computing, Power and Communication Technologies 2018 - , India
Duration: 28 Sep 201829 Sep 2018
http://www.gucon.org

Conference

ConferenceIEEE International Conference on Computing, Power and Communication Technologies 2018
Abbreviated titleGUCON-2018
CountryIndia
Period28/09/1829/09/18
Internet address

Keywords

  • API Design
  • Machine Learning
  • Smart parking Applications
  • Application Testing
  • Android Applications

Fingerprint Dive into the research topics of 'Little locator: a smartphone parking-location application'. Together they form a unique fingerprint.

Cite this