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September 10, 2025Journal of Highway and Transportation Research and Development (English Edition)Open Access

A lane detection based on machine vision for lane departure warning system

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Authors

LGLan-Da GaoZLZhenghui LiangYTYang Tian

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Overview

Machine vision improves lane detection accuracy in vehicles, suggesting reduced traffic accidents.

Key Points

  • The proposed lane detection method improves accuracy while reducing the risk of traffic accidents.
  • Deep learning techniques significantly enhance image processing effectiveness compared to traditional methods.
  • The integration of the Convolutional Block Attention Module focuses the algorithm on critical target areas.
  • Extracted lane line angles enable precise determination of vehicle lane deviation, improving warning reliability.

Cite This Study

Gao et al. (2025) studied this question.

synapsesocial.com/papers/68c192579b7b07f3a0616e74https://doi.org/10.26599/htrd.2025.9480069
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deep Learning Based Lane Detection for Auto Driving Vehicles2025
  2. 2Deep Learning for Lane Detection: A Comparative Analysis2024
  3. 3Vision-Based Multi-Stages Lane Detection Algorithm2024 · 1 citations
  4. 4A Review of Deep Learning-Based Lane Detection Methods in Complex Environments2025
  5. 5Lane detection networks based on deep neural networks and temporal information2024 · 7 citations