This paper is published in Volume-7, Issue-3, 2021
Area
Computer Engineering
Author
Govind Kotecha, Renuka Suryawanshi
Org/Univ
MIT World Peace University, Pune, Maharashtra, India
Pub. Date
24 May, 2021
Paper ID
V7I3-1379
Publisher
Keywords
Lane Detection, Modified Hough Transformation, Edge Detection, Hybrid Median Filter (HMF)

Citationsacebook

IEEE
Govind Kotecha, Renuka Suryawanshi. Survey on lane detection techniques, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Govind Kotecha, Renuka Suryawanshi (2021). Survey on lane detection techniques. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Govind Kotecha, Renuka Suryawanshi. "Survey on lane detection techniques." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

Every year, a large number of persons are killed in highway departure crashes due by driver inattention. Because safety is the primary goal of these systems, lane detecting systems can help prevent accidents. Such systems are designed to detect lane markings and alert the driver if the vehicle is drifting out of its lane. Several lane identification systems have been proposed and effectively proven in recent years. The hybrid median filter was used in this study to provide a noble strategy for lane detecting. Lane detection is used in a variety of intelligent vehicle applications, including lane trip recognition and warning boards, intelligent journey control, and autonomous driving. The majority of previous research has ignored the use of image filtering algorithms.
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