|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: April 2024
Volume 9 | Issue 4
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 95
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Survey on Lane Detection Technology for Autonomous Vehicle |
| Authors Name: | Pankaj Gupta , Mann Gupta , Shivay Mishra |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_197067
|
| Published Paper Id: | IJNRD2306075 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | The development of autonomous vehicles has gained significant attention in recent years, with a focus on increasing safety and improving the driving experience. One of the key challenges in achieving these goals is accurate lane detection, which is essential for the safe navigation of vehicles. This paper proposes a real-time lane detection system for autonomous vehicles using YOLOv7 algorithm. The proposed system uses a camera mounted on the vehicle to capture the road images, which are then processed to detect lane markings. The lane detection is performed using a combination of image processing algorithms, such as color segmentation and edge detection, as well as machine learning techniques, such as deep neural networks. The proposed system is designed to operate in real-time and provide accurate lane detection results under different weather and lighting conditions. The experimental outcomes substantiate the high accuracy achieved by the proposed system and robustness in lane detection for autonomous vehicles. This research has significant implications for the development of safe and reliable autonomous vehicles in the future. |
| Keywords: | Autonomous vehicle, Accurate, Navigation, Lane Detection, Segmentation. |
| Cite Article: | "Survey on Lane Detection Technology for Autonomous Vehicle", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.a631-a634, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306075.pdf |
| Downloads: | 000118750 |
| 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 |
| Publication Details: |
Published Paper ID:IJNRD2306075 Registration ID: 197067 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: a631-a634 Country: Greater Noida, Uttar Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306075 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306075 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn