Author Login IJIRT Partner Network (IPN) Login

Autonomous Road Sign Recognition and Lane Detection Using Convolutional Neural Networks

  • Unique Paper ID: 150461
  • Volume: 7
  • Issue: 6
  • PageNo: 160-163
  • Abstract:
  • Approximately 1.35 million people die each year as a result of road traffic crashes, and between 40 to 70 million are injured drastically. Most of these accidents takes place due to lack of response time to instant traffic events. To design such recognition and detection system in autonomous cars, it is important to monitor and guide through real time traffic events. This involves 1) Road sign recognition 2) Road lane detection. Road sign recognition have been studied for many years and with many good results, but road lane detection is a less-studied field. Road lane detection provide drivers with very valuable information about which lane they are following and any possible lane departure, in order to make driving safer and easier. In this paper, an attempt is made to develop such system, by applying image recognition to capture traffic signs, classify and process them correctly using Convolutional Neural Network.
email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 7
  • Issue: 6
  • PageNo: 160-163

Autonomous Road Sign Recognition and Lane Detection Using Convolutional Neural Networks

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry