Lightweight lane line detection based on learnable cluster segmentation with self‐attention mechanism-Reference-Cited by-同舟云学术

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Lightweight lane line detection based on learnable cluster segmentation with self‐attention mechanism

Published:2022-10-04 Issue:3 Volume:17 Page:522-533
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Trans Sys

Author:

Yang Qin¹^ORCID,Ma Yahong¹,Li Linsen¹,Su Chang²,Gao Yujie¹,Tao Jiaxin¹,Huang Zhentao¹,Jiang Rui¹

Affiliation:

1. School of Information Engineering Xijing University Xi'an China

2. Autocore.ai Nan'jing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12277

Reference45 articles.

1. Recent progress in road and lane detection: a survey

2. Multi-scale spatial convolution algorithm for lane line detection and lane offset estimation in complex road conditions

3. Lane Lines Detection under Complex Environment by Fusion of Detection and Prediction Models

4. Improved lane detection method based on convolutional neural network using self‐attention distillation;Zhang X.;Sens. Mater.,2020

5. Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN

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1. Vision-Based Multi-Stages Lane Detection Algorithm;Pertanika Journal of Science and Technology;2024-07-22

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