Maeda Hiroya 前田紘弥

Researcher Number	90853200
Other IDs
Affiliation (based on the past Project Information) *help	2020 – 2022: 東京大学, 生産技術研究所, 特任研究員
Review Section/Research Field	Principal Investigator Basic Section 22010:Civil engineering material, execution and construction management-related
Keywords	Principal Investigator 地理空間情報 / ひび割れ検出 / データセット / 深層学習 / 道路損傷検知 / 舗装点検 / インフラメンテナンス / AI / 画像処理 / 舗装 / 土木

Prediction of road damage based on low-cost, high-volume, and high-frequency data accumulation using deep learningPrincipal Investigator
- Principal Investigator
  
  Maeda Hiroya
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 22010:Civil engineering material, execution and construction management-related
- Research Institution
  The University of Tokyo

All 2022 2021 2020

All Journal Article Presentation

[Journal Article] Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)2022
- Author(s)
  Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
- Journal Title
  
  arXiv preprint arXiv:2211.11362
  
  Volume: -
- Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14799
[Journal Article] Road Rutting Detection using Deep Learning on Images2022
- Author(s)
  Saha Poonam Kumari、Arya Deeksha、Kumar Ashutosh、Maeda Hiroya、Sekimoto Yoshihide
- Journal Title
  
  2022 IEEE International Conference on Big Data (Big Data)
  
  Volume: - Pages: 1362-1368
- DOI
  10.1109/bigdata55660.2022.10020458
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14799
[Journal Article] Deep learning-based road damage detection and classification for multiple countries2021
- Author(s)
  Arya Deeksha、Maeda Hiroya、Ghosh Sanjay Kumar、Toshniwal Durga、Mraz Alexander、Kashiyama Takehiro、Sekimoto Yoshihide
- Journal Title
  
  Automation in Construction
  
  Volume: 132 Pages: 103935-103935
- DOI
  10.1016/j.autcon.2021.103935
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14799
[Journal Article] Global Road Damage Detection: State-of-the-art Solutions2020
- Author(s)
  Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
- Journal Title
  
  arXiv preprint arXiv:2011.08740
  
  Volume: -
- Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14799
[Journal Article] Generative adversarial network for road damage detection2020
- Author(s)
  Maeda Hiroya、Kashiyama Takehiro、Sekimoto Yoshihide、Seto Toshikazu、Omata Hiroshi
- Journal Title
  
  Computer-Aided Civil and Infrastructure Engineering
  
  Volume: 36 Issue: 1 Pages: 47-60
- DOI
  10.1111/mice.12561
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18KT0049, KAKENHI-PROJECT-20K14799
[Journal Article] Transfer learning-based road damage detection for multiple countries2020
- Author(s)
  Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto
- Journal Title
  
  arXiv preprint arXiv:2008.13101
  
  Volume: -
- Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14799
[Presentation] Global Road Damage Detection: State-of-the-art Solutions2020
- Author(s)
  Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
- Organizer
  IEEE BigData2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14799

1. 瀬戸寿一

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Maeda Hiroya 前田 紘弥

Research Projects

Research Products

Co-Researchers

Prediction of road damage based on low-cost, high-volume, and high-frequency data accumulation using deep learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)2022

Author(s)

Journal Title

Data Source

[Journal Article] Road Rutting Detection using Deep Learning on Images2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Deep learning-based road damage detection and classification for multiple countries2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Global Road Damage Detection: State-of-the-art Solutions2020

Author(s)

Journal Title

Data Source

[Journal Article] Generative adversarial network for road damage detection2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Transfer learning-based road damage detection for multiple countries2020

Author(s)

Journal Title

Data Source

[Presentation] Global Road Damage Detection: State-of-the-art Solutions2020

Author(s)

Organizer

Data Source

Maeda Hiroya 前田紘弥