Session Details

土木分野におけるAIの活用(その7)

Fri. Sep 6, 2024 10:40 AM - 12:00 PM JST
Fri. Sep 6, 2024 1:40 AM - 3:00 AM UTC
第2講義室(経済学部)(川内南キャンパス文科系総合講義棟)
Chair: Tomotaka Ueta

[CS14-44]Basic study of damage detection system using data from national road structures inspection database

*Kohaku Kobayashi1, Kou Ibayashi1 (1. National Institute of Technology(KOSEN) Nagaoka College)

[CS14-45]Zero-shot similarity-based image retrieval using foundation model for maintenance of road facilities

*Yukino Tsuzuki1, Pang-jo Chun2 (1. Yachiyo Engineering Co., Ltd., 2. The University of Tokyo)

[CS14-46]The accuracy verification of road surface friction coefficient estimation on non-snow/ice road condition using deep learning and road surface images

*Akira Saida1, Tomonori Ohiro2, Kota Okumura1, Yasuhiko Ito1 (1. Civil Engineering Research Institute for Cold Region, Public Works Research Institute, National Research and Development Agency, 2. Civil Engineering Research Institute for Cold Region, Public Works Research Institute, National Research and Development Agency(former affiliation))

[CS14-47]Development of asphalt pavement patching detection using AI technology

*Taichi Enomoto1, kosugi tsuyoshi1, nakamura taishi1, Keiji Yamane2, Masaru Tanaka3 (1. Shutoko Engineering Company Limited, 2. Panasonic Solution Technologies Co., Ltd., 3. Panasonic Connect Co., Ltd.)

[CS14-48]Road Pavement Deterioration Prediction AI Using the National Road Facility Inspection Database

*Koki Kawauchi1, Riho Kondo1, Yukihiro Namba1, Kenichiro Kawamoto1 (1. NTT DOCOMO, INC.)

[CS14-49]Sophistication of crack extraction in expressway road surface images using deep learning

*Yuta Teranishi1, Junji Yoshida1, Takayuki Kobayashi2, Yusei Hori2 (1. University of Yamanashi, 2. East Nippon Expressway Company Limited)

[CS14-50]The feasibility study about the detection of discrepancy in road bridges data on xROAD by Claude3

*Yuta TTakahashi1 (1. Yachiyo Engineering Co., Ltd.)