TY - GEN
T1 - Underground Pipeline Precise Positioning Method Based on GPR Bscan Images
AU - Sun, Shuangying
AU - Yang, Xiaopeng
AU - Lan, Tian
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Ground-penetrating radar (GPR) enables the positioning of underground pipelines without excavation. However, the accuracy and errors of existing methods are still insufficient due to the influence of strong clutter in actual environments. In this paper, an underground pipeline precise positioning method based on GPR Bscan images is proposed. First, the YOLOv8 neural network is employed for initially pipeline positioning. Next, by combining network post-processing with curve fitting, the pipeline depth is estimated with high accuracy, enabling precise pipeline positioning. Finally, in validation using measured data, the proposed method achieved a mean average precision (MAP) of 96.8% in the initially pipeline positioning step and a relative depth estimation error of 4.84% in the precise positioning step.
AB - Ground-penetrating radar (GPR) enables the positioning of underground pipelines without excavation. However, the accuracy and errors of existing methods are still insufficient due to the influence of strong clutter in actual environments. In this paper, an underground pipeline precise positioning method based on GPR Bscan images is proposed. First, the YOLOv8 neural network is employed for initially pipeline positioning. Next, by combining network post-processing with curve fitting, the pipeline depth is estimated with high accuracy, enabling precise pipeline positioning. Finally, in validation using measured data, the proposed method achieved a mean average precision (MAP) of 96.8% in the initially pipeline positioning step and a relative depth estimation error of 4.84% in the precise positioning step.
KW - Curve fitting
KW - Ground-penetrating radar (GPR)
KW - Pipeline depth estimation
KW - Pipeline positioning
KW - YOLO network
UR - https://www.scopus.com/pages/publications/86000014812
U2 - 10.1109/ICSIDP62679.2024.10868278
DO - 10.1109/ICSIDP62679.2024.10868278
M3 - Conference contribution
AN - SCOPUS:86000014812
T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Y2 - 22 November 2024 through 24 November 2024
ER -