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2020 – today
- 2024
[j5]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: 102388 (2024)- [j4]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): 1858 (2024) - 2023
- [c12]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: 732-737 - 2022
- [j3]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): 9992 (2022) - [c11]Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto:
Road Rutting Detection using Deep Learning on Images. IEEE Big Data 2022: 1362-1368 - [c10]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. IEEE Big Data 2022: 1858-1865 - [c9]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). IEEE Big Data 2022: 6378-6386 - [c8]Zhehui Yang, Hiroya Maeda, Chenbo Zhao, Go Sato, Yoshihide Sekimoto:
Vision-Based Traffic Sign Detection and Localization in Tokyo Metropolitan Area. ITSC 2022: 316-321 - [c7]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: 2292-2299 - [i6]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto:
RDD2022: A multi-national image dataset for automatic Road Damage Detection. CoRR abs/2209.08538 (2022) - [i5]Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto:
Road Rutting Detection using Deep Learning on Images. CoRR abs/2209.14225 (2022) - [i4]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022). CoRR abs/2211.11362 (2022) - 2021
- [j2]Hiroya Maeda, Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Hiroshi Omata:
Generative adversarial network for road damage detection. Comput. Aided Civ. Infrastructure Eng. 36(1): 47-60 (2021) - [c6]Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Yoshihide Sekimoto:
Citywide reconstruction of cross-sectional traffic flow from moving camera videos. IEEE BigData 2021: 1670-1678 - 2020
- [c5]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: 5533-5539 - [c4]Alexander Mraz, Yoshihide Sekimoto, Takehiro Kashiyama, Hiroya Maeda:
Development of the Localized Road Damage Detection Model Using Deep Neural Network. SSIP 2020: 1-6 - [i3]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 abs/2008.13101 (2020) - [i2]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 abs/2011.08740 (2020)
2010 – 2019
- 2018
- [j1]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): 1127-1141 (2018) - [i1]Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata:
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone. CoRR abs/1801.09454 (2018) - 2017
- [c3]Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata:
Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information. UrbanGIS@SIGSPATIAL 2017: 9:1-9:8 - 2016
- [c2]Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto:
Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network. MobiGIS 2016: 37-45 - [c1]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: 111-113
Coauthor Index
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