Road Lane Detection System Using Image Processing

Authors

  • Bhavana N School of Computig and Information Technology, REVA University, Bangalore Karnataka India
  • Darshan T School of Computig and Information Technology, REVA University, Bangalore Karnataka India
  • Sushanth S School of Computig and Information Technology, REVA University, Bangalore Karnataka India
  • Shiny Fernandes School of Computig and Information Technology, REVA University, Bangalore Karnataka India
  • Ankitha C School of Computig and Information Technology, REVA University, Bangalore Karnataka India

DOI:

https://doi.org/10.5281/zenodo.7937958

Keywords:

Road Lane Detection, Image Processing, Edge Detection, Region of Interest

Abstract

Real-time automated road lane detection is an indispensable part of intelligent vehicle safety system. The most significant development for intelligent vehicles is driver assistance system. This driver assistance system holds great promise in increasing safety, convenience and efficiency of driving. The driver assistance system involves camera-assisted system which takes the real-time images from the surroundings of the vehicle and displays relevant information to the driver. Thus, intelligent vehicles automatically collect the road lane information and vehicle position relative to the lane. Consequently, the system used by the intelligent vehicles provides the means to alert the drivers which are swerving off the lane without prior use of the blinker. So, intelligent vehicles will clearly enhance traffic safety if they are extensively taken into use. Hence the current research work is taken up to develop a middle man system that takes the image and processes it to provide the ROI in the image.

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Published

2023-05-15

How to Cite

Bhavana N, Darshan T, Sushanth S, Shiny Fernandes, & Ankitha C. (2023). Road Lane Detection System Using Image Processing. International Journal of Human Computations & Intelligence, 2(3), 138–146. https://doi.org/10.5281/zenodo.7937958