Vision-Based Robust Lane Detection and Tracking in Challenging Conditions-Reference-Cited by-同舟云学术

Vision-Based Robust Lane Detection and Tracking in Challenging Conditions

Author:

Sultana Samia¹^ORCID,Ahmed Boshir²,Paul Manoranjan³^ORCID,Islam Muhammad Rafiqul¹^ORCID,Ahmad Shamim⁴^ORCID

Affiliation:

1. School of IT and Engineering, Melbourne Institute of Technology, Sydney, NSW, Australia

2. Department of Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh

3. School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW, Australia

4. Department of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference43 articles.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Bilateral Filtering and Hybrid Homomorphic Normalization for Lane-Image Pre-processing;2024 IEEE International Conference on Electro Information Technology (eIT);2024-05-30

3. Procedure for describing traffic situation scene development;International Journal of Intelligent Unmanned Systems;2024-05-09

4. A Robust Road Lane Detection Using Computer Vision Approach for Autonomous Vehicles;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18