Parkmaster: an in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments. Grassi, G., Jamieson, K., Bahl, P., & Pau, G. In Zhang, J., Chiang, M., & Maggs, B. M., editors, SEC, pages 16:1-16:14, 2017. ACM.
Parkmaster: an in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments. [link]Link  Parkmaster: an in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments. [link]Paper  bibtex   
@inproceedings{conf/edge/GrassiJB017,
  added-at = {2018-11-06T00:00:00.000+0100},
  author = {Grassi, Giulio and Jamieson, Kyle and Bahl, Paramvir and Pau, Giovanni},
  biburl = {https://www.bibsonomy.org/bibtex/25d1b033218755b3ec7299a668b598dcc/dblp},
  booktitle = {SEC},
  crossref = {conf/edge/2017sec},
  editor = {Zhang, Junshan and Chiang, Mung and Maggs, Bruce M.},
  ee = {https://doi.org/10.1145/3132211.3134452},
  interhash = {dbfc24df90116f8dcf457406e0c12ac9},
  intrahash = {5d1b033218755b3ec7299a668b598dcc},
  isbn = {978-1-4503-5087-7},
  keywords = {dblp},
  pages = {16:1-16:14},
  publisher = {ACM},
  timestamp = {2018-11-07T15:06:43.000+0100},
  title = {Parkmaster: an in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments.},
  url = {http://dblp.uni-trier.de/db/conf/edge/sec2017.html#GrassiJB017},
  year = 2017
}

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