A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection

A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection

Considering that most pavement anomaly detection algorithms are difficult to play a stable role in data related to different distributions of pavement anomalies, this paper proposes a pavement anomaly detection algorithm based on multi-scale fusion time series information. The algorithm iteratively...

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Bibliographic Details
Main Authors: Zhang Jiazhen, Wang Xiulai, Zhao Shuxu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Time series
pavement anomaly detection algorithm
deep learning
model optimization
Online Access:https://ieeexplore.ieee.org/document/10824775/
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https://ieeexplore.ieee.org/document/10824775/

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