Hiroya Maeda

According to our database1, Hiroya Maeda authored at least 20 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models.
Remote. Sens., June, 2024

From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection.
Adv. Eng. Informatics, 2024

2023
Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management.
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.
Sensors, 2022

RDD2022: A multi-national image dataset for automatic Road Damage Detection.
CoRR, 2022

Vision-Based Traffic Sign Detection and Localization in Tokyo Metropolitan Area.
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.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Road Rutting Detection using Deep Learning on Images.
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.
Proceedings of the IEEE International Conference on Big Data, 2022

Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022).
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Generative adversarial network for road damage detection.
Comput. Aided Civ. Infrastructure Eng., 2021

Citywide reconstruction of cross-sectional traffic flow from moving camera videos.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Transfer Learning-based Road Damage Detection for Multiple Countries.
CoRR, 2020

Development of the Localized Road Damage Detection Model Using Deep Neural Network.
Proceedings of the SSIP 2020: 2020 3rd International Conference on Sensors, 2020

Global Road Damage Detection: State-of-the-art Solutions.
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.
CoRR, 2018

Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images.
Comput. Aided Civ. Infrastructure Eng., 2018

2017
Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information.
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.
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.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2016


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