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October 2, 2025

A Review of Convolutional Neural Network-Based Automatic Lane Detection Methods on the TuSimple Dataset

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Authors

IYIlyasa Pahlevi Reza YuliantoIndonesia Defense UniversityAAAchmad AbdurrazzaqIndonesia Defense UniversityEPEsa PrakasaBadan Pusat Statistik

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Implication

This review compares automatic lane detection methods, analyzing their strengths and weaknesses in various conditions.

Key Points

  • The review analyzes various automatic lane detection methods, indicating advances in convolutional neural networks.
  • It evaluates performance metrics, accuracy, and applicability, shedding light on model-based and deep learning techniques.
  • The systematic comparison reveals strengths in computational efficiency and adaptability in diverse environments for lane detection.
  • Ultimately, the review offers insights for researchers and developers in the domain of autonomous driving and computer vision.

Cite This Study

Yulianto et al. (2025) studied this question.

synapsesocial.com/papers/68de84bb5b556a9128e1b7d9https://doi.org/10.58915/amci.v14i3.1376
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