ParkMaster - Leveraging edge computing in visual analytics

Giulio Grassi, Matteo Sammarco, Paramvir Bahl, Kyle Jamieson, Giovanni Pau

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

7 Scopus citations

Abstract

In this work we propose ParkMaster, a low-cost crowdsourcing architecture which exploits machine learning techniques and vision algorithms to evaluate parking availability in cities. While the user is normally driving ParkMaster enables off the shelf smartphones to collect information about the presence of parked vehicles by running image recognition techniques on the phones camera video streaming. The paper describes the design of ParkMaster's architecture and shows the feasibility of deploying such mobile sensor system in nowadays smartphones, in particular focusing on the practicability of running vision algorithms on phones.

Original languageEnglish (US)
Title of host publicationMobiCom 2015 - Proceedings of the 21st Annual International Conference on Mobile Computing and Networking
PublisherAssociation for Computing Machinery
Pages257-259
Number of pages3
ISBN (Electronic)9781450336192
DOIs
StatePublished - Sep 7 2015
Externally publishedYes
Event21st Annual International Conference on Mobile Computing and Networking, MobiCom 2015 - Paris, France
Duration: Sep 7 2015Sep 11 2015

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
Volume2015-September

Other

Other21st Annual International Conference on Mobile Computing and Networking, MobiCom 2015
CountryFrance
CityParis
Period9/7/159/11/15

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • Cloudlet
  • Crowdsourcing
  • Design
  • Edge computing
  • Mobile sensors
  • Vision computing

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  • Cite this

    Grassi, G., Sammarco, M., Bahl, P., Jamieson, K., & Pau, G. (2015). ParkMaster - Leveraging edge computing in visual analytics. In MobiCom 2015 - Proceedings of the 21st Annual International Conference on Mobile Computing and Networking (pp. 257-259). (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM; Vol. 2015-September). Association for Computing Machinery. https://doi.org/10.1145/2789168.2795174