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Road Surface Classification Using IMU Data Based on the CGB-Net Deep Learning Architecture

Duong Do The Duc-Nghia Tran Hoang-Dieu Vu Manh-Tuyen Vi Duc-Tan Tran

Computers, Materials & Continua2026，Vol.88Issue(7)：P.2225-2246,22.

Computers, Materials & Continua2026，Vol.88Issue(7)：P.2225-2246,22.DOI:10.32604/cmc.2026.079056

Road Surface Classification Using IMU Data Based on the CGB-Net Deep Learning Architecture

Duong Do The ¹Duc-Nghia Tran ²Hoang-Dieu Vu ³Manh-Tuyen Vi ³Duc-Tan Tran³

作者信息

1. Academy of Policy and Development,Hanoi City,Vietnam Graduate University of Sciences and Technology,Vietnam Academy of Science and Technology,Hanoi City,Vietnam
2. Institute of Information Technology,Vietnam Academy of Science and Technology,Hanoi City,Vietnam
3. Faculty of Electrical and Electronic Engineering,Phenikaa University,Hanoi City,Vietnam
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摘要

关键词

Road surface classification/deep learning/inertial sensors/accelerometer and gyroscope/CGB-Net/one-dimensional convolutional neural networks/recurrent neural networks/time-series analysis

分类

交通工程

引用本文复制引用

Duong Do The,Duc-Nghia Tran,Hoang-Dieu Vu,Manh-Tuyen Vi,Duc-Tan Tran..Road Surface Classification Using IMU Data Based on the CGB-Net Deep Learning Architecture[J].Computers, Materials & Continua,2026,88(7):P.2225-2246,22.

基金项目

funded by Institute of Information Technology(VAST)grant number NVKN02.01/26-27 （VAST）

The APC was funded by Academy of Policy and Development(Duong DoThe). （Duong DoThe）

Computers, Materials & Continua

ISSN：1546-2218

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