Conference paper Open Access

DroNet: Efficient convolutional neural network detector for real-time UAV applications

Christos Kyrkou; George Plastiras; Theocharis Theocharides; Stylianos I. Venieris; Christos-Savvas Bouganis


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@proceedings{christos_kyrkou_2018_1243708,
  title        = {{DroNet: Efficient convolutional neural network 
                   detector for real-time UAV applications}},
  year         = 2018,
  publisher    = {Zenodo},
  month        = mar,
  note         = {{© 2018 IEEE. Personal use of this material is 
                   permitted. Permission from IEEE must be obtained
                   for all other uses, in any current or future
                   media, in-cluding reprinting/republishing this
                   material for advertising or promotional purposes,
                   creating new collective works, for resale or
                   redistribution to serv-ers or lists, or reuse of
                   any copyrighted component of this work in other
                   works.  C. Kyrkou, G. Plastiras, T. Theocharides,
                   S. I. Venieris and C. S. Bouganis, "DroNet:
                   Efficient convolutional neural network detector
                   for real-time UAV applications," 2018 Design,
                   Automation \& Test in Europe Conference \&
                   Exhibition (DATE), Dresden, Germany, 2018, pp.
                   967-972. doi: 10.23919/DATE.2018.8342149   https:/
                   /www.ieee.org/publications\_standards/publications/
                   rights/rights\_policies.html  NVIDIA Corporation
                   has supported this research with the donation of
                   the Titan Xp GPU}},
  doi          = {10.23919/DATE.2018.8342149},
  url          = {https://doi.org/10.23919/DATE.2018.8342149}
}
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