Hiroya Maeda

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Driving Simulator

Quantum Genetic Algorithm

Top Venues

Publications

Yoshiki Ogawa, Ryoto Nakamura, Go Sato, Hiroya Maeda, Yoshihide Sekimoto
End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models. Remote. Sens. 16 (11) (2024)
Deeksha Arya, Hiroya Maeda, Yoshihide Sekimoto
From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection. Adv. Eng. Informatics 60 (2024)
Zhehui Yang, Deeksha Arya, Chenbo Zhao, Hiroya Maeda, Yoshihide Sekimoto
Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management. ITSC (2023)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). Big Data (2022)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022). CoRR (2022)
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto
Road Rutting Detection using Deep Learning on Images. CoRR (2022)
Zhehui Yang, Chenbo Zhao, Hiroya Maeda, Yoshihide Sekimoto
Development of a Large-Scale Roadside Facility Detection Model Based on the Mapillary Dataset. Sensors 22 (24) (2022)
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Fan Zhang, Hiroshi Omata, Yoshihide Sekimoto
Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator. Big Data (2022)
Zhehui Yang, Hiroya Maeda, Chenbo Zhao, Go Sato, Yoshihide Sekimoto
Vision-Based Traffic Sign Detection and Localization in Tokyo Metropolitan Area. ITSC (2022)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto
RDD2022: A multi-national image dataset for automatic Road Damage Detection. CoRR (2022)
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto
Road Rutting Detection using Deep Learning on Images. Big Data (2022)
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Hiroshi Omata, Yoshihide Sekimoto
Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the CARLA driving simulator. ITSC (2022)
Hiroya Maeda, Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Hiroshi Omata
Generative adversarial network for road damage detection. Comput. Aided Civ. Infrastructure Eng. 36 (1) (2021)
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Yoshihide Sekimoto
Citywide reconstruction of cross-sectional traffic flow from moving camera videos. IEEE BigData (2021)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto
Transfer Learning-based Road Damage Detection for Multiple Countries. CoRR (2020)
Alexander Mraz, Yoshihide Sekimoto, Takehiro Kashiyama, Hiroya Maeda
Development of the Localized Road Damage Detection Model Using Deep Neural Network. SSIP (2020)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
Global Road Damage Detection: State-of-the-art Solutions. CoRR (2020)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
Global Road Damage Detection: State-of-the-art Solutions. IEEE BigData (2020)
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images. Comput. Aided Civ. Infrastructure Eng. 33 (12) (2018)
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone. CoRR (2018)
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information. UrbanGIS@SIGSPATIAL (2017)
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto
Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network. MobiGIS (2016)
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto
An Easy Infrastructure Management Method Using On-Board Smartphone Images and Citizen Reports by Deep Neural Network. Urb-IoT (2016)