InfraSono

Publications

• Hu, D., Wang, M., Guo, R., & Li, S. (2024). Bridge Deck Condition Assessment Using GPR: System Configuration and Defects’ Characterization. In Construction Research Congress 2024 (pp. 1210–1219).
• Wang, M., Hu, D., Chen, J., & Li, S. (2023). Underground infrastructure detection and localization using deep learning enabled radargram inversion and vision based mapping. Automation in Construction, 154, 105004.
• Wang, M., Hu, D., Li, S., & Cai, J. (2022, December). Urban subsurface mapping via deep learning based GPR data inversion. In 2022 Winter Simulation Conference (WSC) (pp. 2440–2450). IEEE.
• Hu, D., Li, S., Ma, Z. J., & Huang, B. (2021). Concrete Bridge Deck Deterioration Assessment Using Ground Penetrating Radar (No. RES 2019-17). University of Tennessee, Knoxville.
• Hou, F., Lei, W., Li, S., & Xi, J. (2021). Deep learning-based subsurface target detection from GPR scans. IEEE Sensors Journal, 21(6), 8161–8171.

• Hu, D., Li, S., & Cai, J. (2021). A machine learning-based framework for automatic bridge deck condition assessment using GPR. In Computing in Civil Engineering 2021 (pp. 74–82).
• Hou, F., Lei, W., Li, S., & Xi, J. (2020). Underground multi-class objects identification using HTC from GPR bridge data. In GPR 2020 (pp. 140–143). SEG.
• Hu, D., Hou, F., & Li, S. (2020). GPR-based root architecture detection & characterization. In GPR 2020 (pp. 243–246). SEG.
• Hu, D., Hou, F., Blakely, J., & Li, S. (2020). AR visualization for bridge deck deterioration (GPR). In CRC 2020 (pp. 1156–1164). ASCE.
• Yuan, C., Li, S., Cai, H., & Kamat, V. R. (2018). GPR signature detection & decomposition for buried utilities. J. Comput. Civ. Eng., 32(4), 04018026.
• Liu, D., Chen, J., Li, S., & Cui, W. (2018). Whole-process management of water pipeline safety—visualization framework. Automation in Construction, 89, 24–37.
• Cai, J., Li, S., & Cai, H. (2018). Accurate mapping of underground utilities via D–S fusion. In CRC 2018 (pp. 712–721).
• Li, S., Cao, Y., & Cai, H. (2017). Pavement-crack detection via steerable filtering + active contours. J. Comput. Civ. Eng., 31(5), 04017045.
• Li, S., Yuan, C., Liu, D., & Cai, H. (2016). Image + GPR fusion for automated pothole detection. J. Comput. Civ. Eng., 30(6), 04016015.
• Li, S., Cai, H., Abraham, D. M., & Mao, P. (2016). Estimating underground utility features: Hybrid GPR/GPS. J. Comput. Civ. Eng., 30(1), 04014108.
• Li, S., Cai, H., & Kamat, V. R. (2015). Uncertainty-aware geospatial system for underground utilities. Automation in Construction, 53, 105–119.
• Li, S., & Cai, H. (2015). Automated underground utility mapping & compliance via NLP-aided spatial reasoning. In Computing in Civil Engineering 2015 (pp. 419–426).