A visual-based positioning system

Cheng Sheng Chien, Min Te Sun, Yi Chang Wang, Jen You Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We implemented a visual-based positioning system on the Android smartphones. This system uses only the build-in camera and sensors in a smartphone. The system works without additional assisted equipments, so it is very easy to deploy to consumers with mobile devices. In addition, we conducted small and large-scale field experiments to examine the accuracy of our system. The results indicate that our system is able to provide a much better accuracy in small-scale experiments compared with the global positioning system. In large-scale experiments, the system is accurate enough for virtual augmentation and location-based service applications.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
EditorsWilliam Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
PublisherIOS Press
Number of pages11
ISBN (Electronic)9781614994831
StatePublished - 2015
EventInternational Computer Symposium, ICS 2014 - Taichung, Taiwan
Duration: 12 Dec 201414 Dec 2014

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


ConferenceInternational Computer Symposium, ICS 2014


  • augmented reality
  • location-based service
  • positioning


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