Automatic Lane Detection in NH5 of Odisha

  • P. Kanungo
  • S. K. Mishra
  • S. Mahapatra
  • U. R. Sahoo
  • U. S. Kr. Sah
  • V. Taunk
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 309)

Abstract

The efficacy of any intelligent transportation systems depends on efficiency of the lane detection system. This paper addressed the lane detection problem during the daytime in the NH5 of Odisha, India. In NH5, the contrast between road and lane is very low because of dust and mud layers from the side of the road and at many places, the lane markings are not visible due to natural or unnatural processes of erosion. Therefore, most of the proposed lane detection algorithms that are for the foreign roads failed to correctly detect the lanes. In this paper, we proposed a lane detection model and a new thresholding approach for correct detection of lanes in the NH5 between Khandagiri and Khurdha, Odisha, India.

Keywords

Road scene Lane detection Driver assistance system Inverse perspective mapping Gray conversion Segmentation Thresholding Peak–valley detection 

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Copyright information

© Springer India 2015

Authors and Affiliations

  • P. Kanungo
    • 1
  • S. K. Mishra
    • 1
  • S. Mahapatra
    • 1
  • U. R. Sahoo
    • 1
  • U. S. Kr. Sah
    • 1
  • V. Taunk
    • 1
  1. 1.Image Analysis and Computer Vision Lab, Department of Electronics and Telecommunication EngineeringC. V. Raman College of EngineeringBhubaneswarIndia

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