EHLM: Empirical Design of Novel Road Curve and Lane Identification Scheme using Effective Hybrid Learning Methodology-Reference-Cited by-同舟云学术

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EHLM: Empirical Design of Novel Road Curve and Lane Identification Scheme using Effective Hybrid Learning Methodology

Published:2023-12-14 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
language:
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Author:

Mercy S. Sudha¹,Ramya G.²,Sankar R.³,Saravanan L.⁴,K Krishnamoorthi⁵

Affiliation:

1. R.M.K. Engineering College,Department of Computer Science and Design,Chennai

2. SRM Institute of Science and Technology,Faculty of Engineering and Technology,Department of Computing Technologies,Kattankulathur, Chennai,India

3. S.A. Engineering College,Department of MCA,Chennai

4. PERI Institute of Technology,Department of ECE,Chennai

5. Sona College of Technology,Department of EEE,Salem

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465464.pdf?arnumber=10465464

Reference15 articles.

1. Road Lane Line Detection using Machine Learning

2. A Comprehensive Review on Lane Marking Detection Using Deep Neural Networks

3. Automated Crack and Damage Identification in Premises using Aerial Images based on Machine Learning Techniques

4. Lane Detection in Autonomous Vehicles: A Systematic Review

5. Deep Reinforcement Learning for Energy Efficient Routing and Throughput Maximization in Various Networks

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