Hiroya Maeda

24 papers B 4Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models.
Remote. Sens.
Yoshiki Ogawa, Ryoto Nakamura, Go Sato, Hiroya Maeda, Yoshihide Sekimoto
2024 J jnl
From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection.
Adv. Eng. Informatics
Deeksha Arya, Hiroya Maeda, Yoshihide Sekimoto
2024 B conf
ORDDC'2024: State of the art Solutions for Optimized Road Damage Detection.
IEEE Big Data
Deeksha Arya, Hiroshi Omata, Hiroya Maeda, Yoshihide Sekimoto
2023 — conf
Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management.
ITSC
Zhehui Yang, Deeksha Arya, Chenbo Zhao, Hiroya Maeda, Yoshihide Sekimoto
2022 — conf
Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the CARLA driving simulator.
ITSC
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Hiroshi Omata, Yoshihide Sekimoto
2022 B conf
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022).
IEEE Big Data
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2022 J jnl
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022).
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2022 J jnl
Development of a Large-Scale Roadside Facility Detection Model Based on the Mapillary Dataset.
Sensors
Zhehui Yang, Chenbo Zhao, Hiroya Maeda, Yoshihide Sekimoto
2022 J jnl
RDD2022: A multi-national image dataset for automatic Road Damage Detection.
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto
2022 B conf
Road Rutting Detection using Deep Learning on Images.
IEEE Big Data
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto
2022 J jnl
Road Rutting Detection using Deep Learning on Images.
CoRR
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto
2022 B conf
Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator.
IEEE Big Data
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Fan Zhang, Hiroshi Omata, Yoshihide Sekimoto
2022 — conf
Vision-Based Traffic Sign Detection and Localization in Tokyo Metropolitan Area.
ITSC
Zhehui Yang, Hiroya Maeda, Chenbo Zhao, Go Sato, Yoshihide Sekimoto
2021 — conf
Citywide reconstruction of cross-sectional traffic flow from moving camera videos.
IEEE BigData
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Yoshihide Sekimoto
2021 J jnl
Generative adversarial network for road damage detection.
Comput. Aided Civ. Infrastructure Eng.
Hiroya Maeda, Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Hiroshi Omata
2020 — conf
Development of the Localized Road Damage Detection Model Using Deep Neural Network.
SSIP
Alexander Mraz, Yoshihide Sekimoto, Takehiro Kashiyama, Hiroya Maeda
2020 — conf
Global Road Damage Detection: State-of-the-art Solutions.
IEEE BigData
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2020 J jnl
Global Road Damage Detection: State-of-the-art Solutions.
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2020 J jnl
Transfer Learning-based Road Damage Detection for Multiple Countries.
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto
2018 J jnl
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone.
CoRR
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
2018 J jnl
Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images.
Comput. Aided Civ. Infrastructure Eng.
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
2017 — conf
Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information.
UrbanGIS@SIGSPATIAL
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
2016 — conf
An Easy Infrastructure Management Method Using On-Board Smartphone Images and Citizen Reports by Deep Neural Network.
Urb-IoT
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto
2016 — conf
Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network.
MobiGIS
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto