Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto (MobiGIS, 2016)

An Easy Infrastructure Management Method Using On-Board Smartphone Images and Citizen Reports by Deep Neural Network. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto (Urb-IoT, 2016)

Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto; Takehiro Kashiyama; Hiroshi Omata (UrbanGIS@SIGSPATIAL, 2017)

Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto; Takehiro Kashiyama; Hiroshi Omata (Comput. Aided Civ. Infrastructure Eng., 2018)

Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto; Takehiro Kashiyama; Hiroshi Omata (CoRR, 2018)

Global Road Damage Detection: State-of-the-art Solutions. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Hiroshi Omata; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE BigData, 2020)

Development of the Localized Road Damage Detection Model Using Deep Neural Network. - Alexander Mraz; Yoshihide Sekimoto; Takehiro Kashiyama; Hiroya Maeda (SSIP, 2020)

Transfer Learning-based Road Damage Detection for Multiple Countries. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Alexander Mraz; Takehiro Kashiyama; Yoshihide Sekimoto (CoRR, 2020)

Citywide reconstruction of cross-sectional traffic flow from moving camera videos. - Ashutosh Kumar; Takehiro Kashiyama; Hiroya Maeda; Yoshihide Sekimoto (IEEE BigData, 2021)

Generative adversarial network for road damage detection. - Hiroya Maeda; Takehiro Kashiyama; Yoshihide Sekimoto; Toshikazu Seto; Hiroshi Omata (Comput. Aided Civ. Infrastructure Eng., 2021)

Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Hiroshi Omata; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE Big Data, 2022)

Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator. - Ashutosh Kumar; Takehiro Kashiyama; Hiroya Maeda; Fan Zhang; Hiroshi Omata; Yoshihide Sekimoto (IEEE Big Data, 2022)

Road Rutting Detection using Deep Learning on Images. - Poonam Kumari Saha; Deeksha Arya; Ashutosh Kumar; Hiroya Maeda; Yoshihide Sekimoto (IEEE Big Data, 2022)

Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the CARLA driving simulator. - Ashutosh Kumar; Takehiro Kashiyama; Hiroya Maeda; Hiroshi Omata; Yoshihide Sekimoto (ITSC, 2022)

Vision-Based Traffic Sign Detection and Localization in Tokyo Metropolitan Area. - Zhehui Yang; Hiroya Maeda; Chenbo Zhao; Go Sato; Yoshihide Sekimoto (ITSC, 2022)

RDD2022: A multi-national image dataset for automatic Road Damage Detection. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Yoshihide Sekimoto (CoRR, 2022)

Development of a Large-Scale Roadside Facility Detection Model Based on the Mapillary Dataset. - Zhehui Yang; Chenbo Zhao; Hiroya Maeda; Yoshihide Sekimoto (Sensors, 2022)

Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management. - Zhehui Yang; Deeksha Arya; Chenbo Zhao; Hiroya Maeda; Yoshihide Sekimoto (ITSC, 2023)

ORDDC'2024: State of the art Solutions for Optimized Road Damage Detection. - Deeksha Arya; Hiroshi Omata; Hiroya Maeda; Yoshihide Sekimoto (IEEE Big Data, 2024)

From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection. - Deeksha Arya; Hiroya Maeda; Yoshihide Sekimoto (Adv. Eng. Informatics, 2024)

End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models. - Yoshiki Ogawa; Ryoto Nakamura; Go Sato; Hiroya Maeda; Yoshihide Sekimoto (Remote. Sens., 2024)