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An Underground Energized Cable Detection Method Based on the Fusion of Real-World Simulation and Characteristic Time Sequence Cover

An Underground Energized Cable Detection Method Based on the Fusion of Real-World Simulation and Characteristic Time Sequence

Measurement Science Review
Volume 26 (2026): Issue 6 (December 2026)
By: ,  ,  ,  ,   and    
Open Access
|Oct 2026
Figures & tables

Figures & Tables

Fig. 1.

Diagram of the operating principle of GPR.

Fig. 2.

The model structure of YOLOv8.

Fig. 3.

Ground-penetrating radar simulation scenario.

Fig. 4.

gprMax simulation waveform.

Fig. 5.

Network structure of the proposed GPM-YOLO model.

Fig. 6.

Precision–recall curve of the GPM-YOLO model.

Fig. 7.

The training trend of the GPM-YOLO model.

Fig. 8.

Comparison of GPM-YOLO with the YOLO model.

Fig. 9.

Underground cable in actual scenarios.

Fig. 10.

The recognition results of the GPM-YOLO model.

DOI: https://doi.org/10.2478/msr-2026-0035 | Journal eISSN: 1335-8871
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Language: English
Page range: 287 - 295
Submitted on: Feb 23, 2026
Accepted on: Sep 9, 2026
Published on: Oct 19, 2026
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
ground-penetrating radar,
live cable detection,
physics-aware features,
depth/sequence fusion,
You Only Look Once (YOLO)
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2026 Tiancheng Sun, Yongqiang Tan, Xi Yang, Xitian Zhang, Chengzhi Ma, Hongjian Zhou, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 26 (2026): Issue 6 (December 2026)