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)

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)

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)

Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan. - Kento Kajiwara; Jue Ma; Toshikazu Seto; Yoshihide Sekimoto; Yoshiki Ogawa; Hiroshi Omata (Comput. Environ. Urban Syst., 2022)

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