Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections. - Pang-jo Chun; Ji Dang; Shunsuke Hamasaki; Ryosuke Yajima; Toshihiro Kameda; Hideki Wada; Tatsuro Yamane; Shota Izumi; Keiji Nagatani (J. Robotics Mechatronics, 2020)

Development of a Machine Learning-Based Damage Identification Method Using Multi-Point Simultaneous Acceleration Measurement Results. - Pang-jo Chun; Tatsuro Yamane; Shota Izumi; Naoya Kuramoto (Sensors, 2020)

Automatic detection method of cracks from concrete surface imagery using two-step light gradient boosting machine. - Pang-jo Chun; Shota Izumi; Tatsuro Yamane (Comput. Aided Civ. Infrastructure Eng., 2021)

A deep learning-based image captioning method to automatically generate comprehensive explanations of bridge damage. - Pang-jo Chun; Tatsuro Yamane; Yu Maemura (Comput. Aided Civ. Infrastructure Eng., 2022)

Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method. - Shiori Kubo; Tatsuro Yamane; Pang-jo Chun (Sensors, 2022)

Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering. - Tatsuro Yamane; Pang-jo Chun; Ji Dang; Takayuki Okatani (CoRR, 2023)

Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results. - Tatsuro Yamane; Pang-jo Chun; Ji Dang; Riki Honda (Comput. Aided Civ. Infrastructure Eng., 2023)

Implementation of explanatory texts output for bridge damage in a bridge inspection web system. - Pang-jo Chun; Honghu Chu; Kota Shitara; Tatsuro Yamane; Yu Maemura (Adv. Eng. Softw., 2024)

Improving visual question answering for bridge inspection by pre-training with external data of image-text pairs. - Thannarot Kunlamai; Tatsuro Yamane; Masanori Suganuma; Pang-jo Chun; Takayuki Okatani (Comput. Aided Civ. Infrastructure Eng., 2024)