Hiroya Maeda

According to our database, Hiroya Maeda authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., June, 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

2023

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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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

RDD2022: A multi-national image dataset for automatic Road Damage Detection.

Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto

CoRR, 2022

Vision-Based Traffic Sign Detection and Localization in Tokyo Metropolitan Area.

Zhehui Yang, Hiroya Maeda, Chenbo Zhao, Go Sato, Yoshihide Sekimoto

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Road Rutting Detection using Deep Learning on Images.

Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto

Proceedings of the IEEE International Conference on 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

Proceedings of the IEEE International Conference on Big Data, 2022

Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022).

Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Generative adversarial network for road damage detection.

Hiroya Maeda, Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Hiroshi Omata

Comput. Aided Civ. Infrastructure Eng., 2021

Citywide reconstruction of cross-sectional traffic flow from moving camera videos.

Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Yoshihide Sekimoto

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

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

Development of the Localized Road Damage Detection Model Using Deep Neural Network.

Alexander Mraz, Yoshihide Sekimoto, Takehiro Kashiyama, Hiroya Maeda

Proceedings of the SSIP 2020: 2020 3rd International Conference on Sensors, 2020

Global Road Damage Detection: State-of-the-art Solutions.

Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

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

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

2017

Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information.

Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata

Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, 2017

2016

An Easy Infrastructure Management Method Using On-Board Smartphone Images and Citizen Reports by Deep Neural Network.

Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto

Proceedings of the Second International Conference on IoT in Urban Space, 2016

Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network.

Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto

Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2016