An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction-Reference-Cited by-同舟云学术

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

Published:2020 Issue: Volume: Page:408-419
ISSN:0302-9743
Container-title:Advances in Artificial Intelligence
language:
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Author:

Milot Jonathan^ORCID,Champagne Gareau Jaël^ORCID,Beaudry Éric^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-47358-7_42

Reference15 articles.

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3. Byon, Y.J., Liang, S.: Real-time transportation mode detection using smartphones and artificial neural networks: performance comparisons between smartphones and conventional global positioning system sensors. J. Intell. Transp. Syst. 18(3), 264–272 (2014). https://doi.org/10.1080/15472450.2013.824762

4. Cappé, O., Moulines, E., Rydén, T.: Inference in hidden markov models. In: Proceedings of EUSFLAT Conference, pp. 14–16 (2009)

5. Carroll, A., Heiser, G., et al.: An analysis of power consumption in a smartphone. In: USENIX Annual Technical Conference, vol. 14, pp. 21–21 (2010)

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