An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction

Jonathan Milot, Jaël Champagne Gareau, Éric Beaudry. An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction. In Cyril Goutte, Xiaodan Zhu, editors, Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13-15, 2020, Proceedings. Volume 12109 of Lecture Notes in Computer Science, pages 408-419, Springer, 2020. [doi]

@inproceedings{MilotGB20,
  title = {An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction},
  author = {Jonathan Milot and Jaël Champagne Gareau and Éric Beaudry},
  year = {2020},
  doi = {10.1007/978-3-030-47358-7_42},
  url = {https://doi.org/10.1007/978-3-030-47358-7_42},
  researchr = {https://researchr.org/publication/MilotGB20},
  cites = {0},
  citedby = {0},
  pages = {408-419},
  booktitle = {Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13-15, 2020, Proceedings},
  editor = {Cyril Goutte and Xiaodan Zhu},
  volume = {12109},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-47358-7},
}