Road Infrastructure Monitoring System using E-Bikes and Its Extensions for Smart Community

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a road infrastructure monitoring system using e-bikes to support smart community. Smartphone and IoT (Internet of Things) devices are attached to e-bikes, and electric power is supplied from the batteries of e-bikes. Image processing techniques based on deep learning are applied and run on IoT devices or cloud backbone. A prototype system is implemented, which performs from image capturing to web browsing of the processed images.

Original languageEnglish
Title of host publicationSMAS 2019 - Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability, co-located with MobiCom 2019
PublisherAssociation for Computing Machinery
Pages43-44
Number of pages2
ISBN (Electronic)9781450369305
DOIs
Publication statusPublished - 2019 Oct 4
Event1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability, SMAS 2019, co-located with MobiCom 2019 - Los Cabos, Mexico
Duration: 2019 Oct 21 → …

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Conference

Conference1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability, SMAS 2019, co-located with MobiCom 2019
CountryMexico
CityLos Cabos
Period19/10/21 → …

Keywords

  • Deep learning
  • E-bike
  • Road infrastructure monitoring system

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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  • Cite this

    Katto, J., Takeuchi, M., Kanai, K., & Sun, H. (2019). Road Infrastructure Monitoring System using E-Bikes and Its Extensions for Smart Community. In SMAS 2019 - Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability, co-located with MobiCom 2019 (pp. 43-44). (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM). Association for Computing Machinery. https://doi.org/10.1145/3349622.3355455