Novel Intelligent Lane Line Detection System using Neural Networks

Registration ID: IJNRD_207915

Published ID: IJNRD2310393

DOI: Click Here to Get

Niveditha Amarnath , Divya P S , A Aravindh Kumar

AI: Artificial Intelligence, CNN: Convolutional Neural Network, OpenCV, advanced driver-assistance system, lane detection and prediction

The proposed system is a ground-breaking method for lane recognition and assistance through the combination of Artificial Intelligence (AI), OpenCV, and Convolutional Neural Networks (CNNs) in the aim of improving road safety and driving experiences. By combining predictive lane change assistance, the proposed system goes beyond traditional lane recognition techniques and combines driver and AI interactions. Our technology makes use of CNNs to not only recognize lanes but also predict probable lane changes, giving drivers timely notifications and recommendations. The critical requirement for safer driving habits in light of changing traffic situations serves as the motivating force for this research. When dealing with complicated circumstances including multi-lane roadways, metropolitan settings, and various illumination conditions, traditional lane identification systems sometimes fall short. The technology overlays recognized lanes on live video and enables smooth driver involvement through a user-friendly graphical interface. Another example of how AI might encourage cooperative driving practices is the incorporation of vehicle communication for cooperative lane change assistance. A safer and more organized driving environment is made possible by the system, which also significantly improves lane detection accuracy. The emphasis on the relevance of AI-augmented driving in the contemporary automotive scene and highlights the possibilities for integration with navigation and autonomous driving systems.

Published Paper   E-Certificate

Niveditha Amarnath, Divya P S, & A Aravindh Kumar (October-2023). Novel Intelligent Lane Line Detection System using Neural Networks. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(10), d692-d697. https://ijnrd.org/papers/IJNRD2310393.pdf

Volume 8 Issue 10, October-2023

Pages : d692-d697

Paper Reg. ID: IJNRD_207915

Published Paper Id: IJNRD2310393

Downloads: 000121990

Research Area: Science & Technology

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310393.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310393

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details