IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v4y2018i5idhcseit184529.html

Wildlife-Vehicle Collision Avoidance using Spectroscopy

Author

Listed:
  • Swaroop Kulkarni
  • Viswajeet Gupta
  • S. Sujitha

Abstract

There have been many cases where numerous accident have been reported on vehicles colliding with wildlife and human being, especially while traveling at night or on highways. Despite this, there has been no proper solution to this problem. Developing a long range and efficient sensor which would alert the driver about the obstacle ahead would result in lesser number of such accidents. This paper is a review on the motivations to lower the rate of such accidents. The sensor uses spectrum waves to differentiate between humans, animals and other objects. The system uses real time data and try to mimic human reasoning thus prove promising accident control. We give an in depth study on the design, benefits and limitations of this technique.

Suggested Citation

  • Swaroop Kulkarni & Viswajeet Gupta & S. Sujitha, 2018. "Wildlife-Vehicle Collision Avoidance using Spectroscopy," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(5), pages 242-248, April.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i5:id:hcseit184529
    Note: Article URL: https://ijsrcseit.com/CSEIT184529
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT184529
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT184529.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jbh:ijsrcs:v4:y2018:i5:id:hcseit184529. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.