A Survey on Road Lane Line Detection Methods

Authors

  • Jhanani Mohan Master Student, Department of Computer Science and Engineering, KSR College of Engineering, Tiruchengode, India
  • N. Saravanan Professor, Department of Computer Science and Engineering, KSR College of Engineering, Tiruchengode, India
  • M. Somu Professor, Department of Computer Science and Engineering, KSR College of Engineering, Tiruchengode, India

Keywords:

AI, PC vision, man-made reasoning, CNN

Abstract

In this paper we will examine on various Road path line discovery strategies and their cycle. As of now, the quantity of vehicle proprietors is expanding, and the vehicles with independent driving capacities have drawn in increasingly more consideration. Lane recognition is the course of naturally seeing the shape and position of stamped paths and is an urgent part of independent driving frameworks, straightforwardly affecting the direction and controlling of vehicles while additionally helping the connection between various specialists out and about. As the quantity of drivers on the streets has expanded, independent driving frameworks have gotten impressive consideration in the auto and tech businesses just as in scholarly community. Distinguishing paths in-the-wild is trying because of helpless lighting conditions, impediments brought about by different vehicles, insignificant street markings, and the intrinsic long and flimsy property of paths. Late advances in path recognition can be ascribed to the improvement of convolutional neural organizations.

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Published

09-11-2021

Issue

Section

Articles

How to Cite

[1]
J. Mohan, N. Saravanan, and M. Somu, “A Survey on Road Lane Line Detection Methods”, IJRESM, vol. 4, no. 11, pp. 28–31, Nov. 2021, Accessed: Nov. 21, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/1491