International Peer-Reviewed Open Access Journal ISSN (Online): 2395-5325
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International Journal of Contemporary Research in Computer Science and Technology

Peer Reviewed Open Access Fully Refereed Journal Since 2015
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Article Information
  • Published In Volume 3, Issue 5 (2017)
  • Publication Date August 1, 2026
  • Manuscript ID IJCRCST-MAY17-05
  • Article Type Research Paper
  • Pages 17 - 21
  • 9 Views 0 Downloads

Abstract

Due to increase in the number of vehicle in the resent years, the accident count has noticeably increased. Moreover whenever an obstacle is detected in the road it is not possible to stop the vehicle immediately due to forward force and fraction of time available to react to the scenario. So in this paper a new technique is proposed using the sensors and haar features to detect the obstacles present in the road which can include the pedestrians, Lane etc. The experimental results shows that the technique used as a better efficiency in detecting the obstacle and immediately providing the signal to the driver, so that more time is available for the driver to react to the obstacle . More or the less the worst situation is to bring the vehicle to the stop mode. The method implemented here shows the efficiency of above 80% when compared to the traditional method that is available.

Keywords

Pedestrians Lane Obstacles detection smart sensor haar feature

Authors

Babu Kumar S
Karthik S A
Divya Shree
How to Cite this Article

Babu Kumar S, Karthik S A, Divya Shree (2017). "PEDESTRIAN, LANE AND OBSTACLE DETECTION IN INTELLIGENT TRANSPORT SYSTEM". International Journal of Contemporary Research in Computer Science and Technology, 3(5), pp. 17-21.