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Pedestrian's avoidance behavior recognition for road anomaly detection in the city

Published: 07 September 2015 Publication History

Abstract

In this paper, we show an opportunistic sensing-based system for road anomaly detection. To detect road anomalies such as cracks, pits, and puddles, we focus on pedestrian's avoidance behavior that is characterized by the azimuth changing patterns. Three typical avoidance behaviors are defined. RandomForest is chosen as a classifier, in which 29 features are defined. Ten-fold cross-validation showed an average classification performance with an F-measure of 0.87 for 7 activities.

References

[1]
Weka 3: Data mining software in java. http://www.cs.waikato.ac.nz/ml/weka/.
[2]
Alessandroni, G., et al. Smartroadsense: Collaborative road surface condition monitoring. In Proc. of UBICOMM 2014, pp. 210--215.
[3]
City of Chiba. Chiba-repo field trial: Review report. http://www.city.chiba.jp/shimin/shimin/kohokocho/documents/chibarepo-hyoukasho.pdf (Nov. 2013). (In Japanese)
[4]
Kaneda, S., et al. A hazard detection method for bicycles by using probe bicycle. In Proc. of CDS2014, pp. 547--551.
[5]
FixMyStreet. http://fixmystreet.org.
[6]
Tatebe, K., and Nakajima, H. Avoidance behavior against a stationary obstacle under single walking: A study on pedestrian behavior of avoiding obstacles (i). Journal of Architecture, Planning and Environmental Engineering, 418 (1990), pp. 51--57. (In Japanese)

Cited By

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  • (2016)Smartphone-Based Pedestrian’s Avoidance Behavior Recognition towards Opportunistic Road Anomaly DetectionISPRS International Journal of Geo-Information10.3390/ijgi51001825:10(182)Online publication date: 3-Oct-2016

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  1. Pedestrian's avoidance behavior recognition for road anomaly detection in the city

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    Published In

    cover image ACM Conferences
    UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers
    September 2015
    1626 pages
    ISBN:9781450335751
    DOI:10.1145/2800835
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 September 2015

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    Author Tags

    1. avoidance
    2. behavior recognition
    3. opportunistic sensing
    4. road anomaly
    5. smartphone

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    UbiComp '15
    Sponsor:
    • Yahoo! Japan
    • SIGMOBILE
    • FX Palo Alto Laboratory, Inc.
    • ACM
    • Rakuten Institute of Technology
    • Microsoft
    • Bell Labs
    • SIGCHI
    • Panasonic
    • Telefónica
    • ISTC-PC

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

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    • (2016)Smartphone-Based Pedestrian’s Avoidance Behavior Recognition towards Opportunistic Road Anomaly DetectionISPRS International Journal of Geo-Information10.3390/ijgi51001825:10(182)Online publication date: 3-Oct-2016

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