Vehicle classification method based on deep learning

Yehua Gu

doi:10.1117/12.3053331

3 January 2025 Vehicle classification method based on deep learning

Yehua Gu

Author Affiliations +

Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 134420E (2025) https://doi.org/10.1117/12.3053331
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China

Abstract

In this paper, I propose a vehicle classification method based on deep learning, which uses attention-enhanced convolutional neural network (CNN) to realize high-precision vehicle recognition. The model automatically focuses on key vehicle features, significantly improves classification accuracy, and reduces computing costs through structural and training strategy optimization, making it suitable for mobile devices and edge computing. The experimental results show that the model performs well in the identification of various types of vehicles, especially in a specific category of 100% accuracy, showing the application potential in intelligent transportation and vehicle management services.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Yehua Gu "Vehicle classification method based on deep learning", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 134420E (3 January 2025); https://doi.org/10.1117/12.3053331

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KEYWORDS

Deep learning

Performance modeling

Education and training

Mathematical optimization

Visual process modeling

Autonomous vehicles

Instrument modeling

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