Parkmaster: an in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments

Giulio Grassi, Kyle Jamieson, Paramvir Bahl, Giovanni Pau 0001. Parkmaster: an in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments. In Junshan Zhang, Mung Chiang, Bruce M. Maggs, editors, Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, SEC 2017, CA, USA, October 12-14, 2017. ACM, 2017. [doi]

@inproceedings{GrassiJB017,
  title = {Parkmaster: an in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments},
  author = {Giulio Grassi and Kyle Jamieson and Paramvir Bahl and Giovanni Pau 0001},
  year = {2017},
  doi = {10.1145/3132211.3134452},
  url = {http://doi.acm.org/10.1145/3132211.3134452},
  researchr = {https://researchr.org/publication/GrassiJB017},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, SEC 2017, CA, USA, October 12-14, 2017},
  editor = {Junshan Zhang and Mung Chiang and Bruce M. Maggs},
  publisher = {ACM},
  isbn = {978-1-4503-5087-7},
}