Lane Detection System Using OpenCV for Self Driving Cars

Siddhant NigamDepartment of Information Technology, Shree L. R. Tiwari College of Engineering (SLRTCE), Thane 401107, IndiaHariom PareekDepartment of Information Technology, Shree L. R. Tiwari College of Engineering (SLRTCE), Thane 401107, IndiaAvinash VishwakarmaDepartment of Information Technology, Shree L. R. Tiwari College of Engineering (SLRTCE), Thane 401107, IndiaRitik PareekDepartment of Information Technology, Shree L. R. Tiwari College of Engineering (SLRTCE), Thane 401107, IndiaDr. Roopali LolageHOD, Department of Information Technology, Shree L. R. Tiwari College of Engineering (SLRTCE), Thane 401107, India

Vol 7 No 4 (2023): Volume 7, Issue 4, April 2023 | Pages: 115-118

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 27-04-2023

doi Logo doi.org/10.47001/IRJIET/2023.704018

Abstract

Infrastructure, transportation, including roads, and technologies are all evolving as India advances. The Indian economy is heavily dependent on transportation. As is well known, the catastrophe resulted in a large number of fatalities. Hence, controlling the lane system for vehicles on the road is crucial. With the lane detection technology, we can ensure people's safety and direct them when they veer off the motorway. This essay provides a thorough analysis of lane detection and lane departure system techniques. Lane detection is particularly difficult in a variety of traffic conditions. The purpose of this study is to identify the issues and restrictions with the current lane detection and lane departure technology.

Keywords

Lane detection; computer vision; confusion Matrix; ROC curve; DET curve


Citation of this Article

Siddhant Nigam, Hariom Pareek, Avinash Vishwakarma, Ritik Pareek, Dr. Roopali Lolage, “Lane Detection System Using OpenCV for Self Driving Cars” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 4, pp 115-118, April 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.704018

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