IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v13y2017i11p1550147717743698.html
   My bibliography  Save this article

Adaptive spatial-temporal resolution optical vehicular communication system using image sensor

Author

Listed:
  • Amirul Islam
  • Md. Tanvir Hossan
  • Trang Nguyen
  • Yeong Min Jang

Abstract

In this article, we introduce an image sensor–based optical vehicular communication system for performing vehicular condition resolution adaptively in the spatial domain and the temporal domain. To validate the proposed system, a dual camera–based approach is presented here, where a vision camera is used to detect multiple vehicles of interest (i.e. spatial condition), a communication link is set up, and then, a high-speed camera adapts its resolution to ensure fast processing and high-rate data communication (i.e. temporal condition). We suggest an adaptive algorithm that supports the detection of and communication multiple vehicles simultaneously in spatial-temporal condition. Moreover, we propose a combination of scale-invariant feature transform and iterative closest point for detection and classification of multiple vehicles. To prove the feasibility of our proposed scheme, we present simulation results.

Suggested Citation

  • Amirul Islam & Md. Tanvir Hossan & Trang Nguyen & Yeong Min Jang, 2017. "Adaptive spatial-temporal resolution optical vehicular communication system using image sensor," International Journal of Distributed Sensor Networks, , vol. 13(11), pages 15501477177, November.
  • Handle: RePEc:sae:intdis:v:13:y:2017:i:11:p:1550147717743698
    DOI: 10.1177/1550147717743698
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147717743698
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147717743698?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:13:y:2017:i:11:p:1550147717743698. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.