Vehicle Lane Detection and Tracking System for Car Safety

  • Prajakta Yelwande
  • Aditi Jahagirdar

Abstract

Systems(ADASs) is important technology for safety
of car as well as car driver and lane detection is a
main purpose of current Advanced Driving
Assistance Systems (ADASs). Most of the previous
results focuses on the study of vision-based methods.
In this paper, previous lane detection methods and
algorithms are reviewed. Further, the limitations are
studied and analyzed to evaluate the more robust
detection systems and to improve the accuracy of
detection system.

Keywords: Advanced Driving Assistance Systems(ADASs), lane detection, computer vision, accuracy, complexity, data mining, Hough transform, edge detection, Region of Interest(ROI), vehicle detection, canny algorithm, sobel operator.

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How to Cite
Yelwande, P., & Jahagirdar, A. (2019). Vehicle Lane Detection and Tracking System for Car Safety. Asian Journal For Convergence In Technology (AJCT). Retrieved from http://www.asianssr.org/index.php/ajct/article/view/726
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