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Table 3. The comparison between the proposed method (AECWT-3DR-Net) and other methods
Single CWT Image
ToA method [6] AECWT-3DR-Net
as Input [11]
Axis x y z x y z x y z
RMSE (mm) 475.7 161.4 478.0 118.5 203.1 215.5 9.6 7.9 9.3
Avg. RMSE (mm) 371.7 179.0 8.9
4 Conclusion and Future Works
The AECWT-3DR-Net for 3D test regression produced impressive results, with
RMSE measurements of less than 9.6 mm. The study applied a heterogeneous materi-
al, specifically concrete, for the experiment. The proposed method overcomes the
limitations of traditional methods and produces high accuracy by utilizing the rela-
tionships between signals collected from sensors in multiple locations. In future work,
we will continue to improve the accuracy of detecting cracks.
Acknowledgements
This work was supported by the National Research Foundation of Korea (NRF) grant
funded by the Korea government (MSIT) (NRF-2021R1A4A3033128 and NRF-
2022R1C1C1003012).
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CITA 2023 ISBN: 978-604-80-8083-9
