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Road Anomaly Detection Using Smartphone: A Brief Analysis

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Book cover Mobile, Secure, and Programmable Networking (MSPN 2018)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11005))

Abstract

Identification of road anomaly not only helps drivers to reduce the risk, but also support for road maintenance. Arguably, with the popularity of smartphones including multiple sensors, many road anomaly detection systems using mobile phones have been proposed. This paper aims at analyzing a number of typical road anomaly detection methods in terms of resource requirements, energy consumption, fitness conditions. From these measurements, we suggest some improvement directions to build road anomaly detection algorithms appropriate for smartphones.

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Authors and Affiliations

  1. Institut Mines-Télécom/Télécom SudParis, CNRS UMR 5157 SAMOVAR, 9 rue Charles Fourier, 91011, Evry Cedex, France

    Van Khang Nguyen & Éric Renault

  2. College of Education, Hue University, Hue, Vietnam

    Van Khang Nguyen & Viet Hai Ha

Authors
  1. Van Khang Nguyen
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  2. Éric Renault
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  3. Viet Hai Ha
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Corresponding author

Correspondence to Van Khang Nguyen .

Editor information

Editors and Affiliations

  1. Télécom SudParis, Évry, France

    Éric Renault

  2. Conservatoire National des Arts et Métiers, Paris, France

    Selma Boumerdassi

  3. Conservatoire National des Arts et Métiers, Paris, France

    Samia Bouzefrane

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Nguyen, V.K., Renault, É., Ha, V.H. (2019). Road Anomaly Detection Using Smartphone: A Brief Analysis. In: Renault, É., Boumerdassi, S., Bouzefrane, S. (eds) Mobile, Secure, and Programmable Networking. MSPN 2018. Lecture Notes in Computer Science(), vol 11005. Springer, Cham. https://doi.org/10.1007/978-3-030-03101-5_8

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  • DOI: https://doi.org/10.1007/978-3-030-03101-5_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03100-8

  • Online ISBN: 978-3-030-03101-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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