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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
17:00
Online online A Note on Distress Detection based on Deep Learning with Hierarchical Multi-Scale Attention Mechanism for Supporting Maintenance of Subway Tunnels
Saya Takada, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In maintenance of transportation infrastructures, advanced support technologies that can reduce the burden on engineers ... [more] MMS2022-34 ME2022-59 AIT2022-34
pp.377-381
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
10:20
Online Online A Note on Improving Performance of Deep Learning-based Distress Detection for Supporting Maintenance of Subway Tunnels -- Accuracy Verification Focusing on Tunnel Wall Characteristics --
Tomoki Haruyama, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents the performance improvement of deep learning-based distress detection to support the maintenance of ... [more] MMS2021-1 ME2021-1 AIT2021-1
pp.1-6
ME, SIP 2020-12-16
13:00
Online Online A study on hierarchical estimation of road narrowing conditions by piled snow in in-vehicle cameras
Kozo Okumura, Sho Takahashi, Toru Hagiwara (Hokkaido Univ.)
Snow fall regions are facing the challenges such as the aging and decrease in the number of the snow removal workers. Re... [more] ME2020-102
pp.1-4
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-28
14:25
Hokkaido Hokkaido Univ.
(Cancelled)
[Special Talk] Infrastructure maintenance deta analysis -- The survey of soundness judgement of bridges by machine learning --
Aoi Hasegawa, Yuki wakuda, Maiku Abe (Hokkaido Univ.), Hiromu Suzuki (NEXCO EAST)
In this study, we investigate the use of machine learning to estimate the soundness of steel bridge RC slabs. Inspection... [more] MMS2020-44 HI2020-44 ME2020-72 AIT2020-44
pp.357-358
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-19
10:10
Hokkaido Hokkaido Univ. [Special Talk] Efforts for Doctoral Human Resource Development at Hokkaido University -- Smart Infrastructure Management Human Resources Development Consortium --
Miki Haseyama, Toru Ohmoto, Yuki Wakuda (Hokkaido Univ.)
In order to enhance Japan’s competitiveness toward the era of the Fourth Industrial Revolution (Society 5.0), the discov... [more] MMS2019-3 HI2019-3 ME2019-25 AIT2019-3
pp.5-6
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2014-02-17
10:05
Hokkaido Hokkaido Univ. A note on estimating deformation based on Bayesian networks using images from bridge inspection
Katsuki Kobayashi, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for estimating deformation of bridges based on Bayesian networks. There exist strong relati... [more] HI2014-4 ME2014-4 AIT2014-4
pp.217-221
 Results 1 - 6 of 6  /   
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