VAS: An Unsupervised Visible Area Sensing Module for Lane Classification-Reference-Cited by-同舟云学术

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VAS: An Unsupervised Visible Area Sensing Module for Lane Classification

Published:2024-01-12 Issue: Volume: Page:174-178
ISSN:
Container-title:2024 3rd International Conference on Big Data, Information and Computer Network (BDICN)
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Author:

Hong Xing¹,Zhao Ruixiang²,Lv Wu²,Ma Jie¹

Affiliation:

1. National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology,Wuhan,China

2. CSSC Navigation Technology Co., Ltd,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10605178/10605179/10605187.pdf?arnumber=10605187

Reference9 articles.

1. Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection

2. Deep Residual Learning for Image Recognition

3. Robust Lane Detection via Expanded Self Attention

4. Non-local Neural Networks

5. Unsupervised Labeled Lane Markers Using Maps

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