| Road damage detection and classification using deep neural networks with smartphone images H Maeda, Y Sekimoto, T Seto, T Kashiyama, H Omata Computer‐Aided Civil and Infrastructure Engineering 33 (12), 1127-1141, 2018 | 739 | 2018 |
| Road damage detection using deep neural networks with images captured through a smartphone H Maeda, Y Sekimoto, T Seto, T Kashiyama, H Omata arXiv preprint arXiv:1801.09454, 2018 | 295 | 2018 |
| Generative adversarial network for road damage detection H Maeda, T Kashiyama, Y Sekimoto, T Seto, H Omata Computer‐Aided Civil and Infrastructure Engineering 36 (1), 47-60, 2021 | 278 | 2021 |
| Deep learning-based road damage detection and classification for multiple countries D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ... Automation in Construction 132, 103935, 2021 | 189 | 2021 |
| Global road damage detection: State-of-the-art solutions D Arya, H Maeda, SK Ghosh, D Toshniwal, H Omata, T Kashiyama, ... 2020 IEEE International Conference on Big Data (Big Data), 5533-5539, 2020 | 168 | 2020 |
| RDD2020: An annotated image dataset for automatic road damage detection using deep learning D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto Data in brief 36, 107133, 2021 | 149 | 2021 |
| RDD2022: A multi‐national image dataset for automatic road damage detection D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto Geoscience Data Journal 11 (4), 846-862, 2024 | 130 | 2024 |
| Transfer learning-based road damage detection for multiple countries D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ... arXiv preprint arXiv:2008.13101, 2020 | 118 | 2020 |
| Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network H Maeda, Y Sekimoto, T Seto Proceedings of the 5th ACM SIGSPATIAL international workshop on mobile …, 2016 | 58 | 2016 |
| Crowdsensing-based road damage detection challenge (CRDDC’2022) D Arya, H Maeda, SK Ghosh, D Toshniwal, H Omata, T Kashiyama, ... 2022 IEEE international conference on big data (big data), 6378-6386, 2022 | 47 | 2022 |
| Real-time citywide reconstruction of traffic flow from moving cameras on lightweight edge devices A Kumar, T Kashiyama, H Maeda, H Omata, Y Sekimoto ISPRS Journal of Photogrammetry and Remote Sensing 192, 115-129, 2022 | 22 | 2022 |
| Rdd2020: an image dataset for smartphone-based road damage detection and classification D Arya, H Maeda, SK Ghosh, D Toshniwal, H Omata, T Kashiyama, T Seto, ... Mendel. Data 1, 2021 | 22 | 2021 |
| Road damage detection using deep neural networks with images captured through a smartphone. arXiv 2018 H Maeda, Y Sekimoto, T Seto, T Kashiyama, H Omata arXiv preprint arXiv:1801.09454, 2018 | 21 | 2018 |
| From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection D Arya, H Maeda, Y Sekimoto Advanced Engineering Informatics 60, 102388, 2024 | 19 | 2024 |
| Citywide reconstruction of cross-sectional traffic flow from moving camera videos A Kumar, T Kashiyama, H Maeda, Y Sekimoto 2021 IEEE International Conference on Big Data (Big Data), 1670-1678, 2021 | 17 | 2021 |
| RDD2022-The multi-national Road Damage Dataset released through CRDDC'2022 D Arya, H Maeda, Y Sekimoto, H Omata, SK Ghosh, D Toshniwal, ... (No Title), 2022 | 16 | 2022 |
| Road rutting detection using deep learning on images PK Saha, D Arya, A Kumar, H Maeda, Y Sekimoto 2022 IEEE international conference on big data (big data), 1362-1368, 2022 | 9 | 2022 |
| Development of a large-scale roadside facility detection model based on the Mapillary Dataset Z Yang, C Zhao, H Maeda, Y Sekimoto Sensors 22 (24), 9992, 2022 | 8 | 2022 |
| An easy infrastructure management method using on-board smartphone images and citizen reports by deep neural network H Maeda, Y Sekimoto, T Seto Proceedings of the Second International Conference on IoT in Urban Space …, 2016 | 8 | 2016 |
| Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the carla driving simulator A Kumar, T Kashiyama, H Maeda, H Omata, Y Sekimoto 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 6 | 2022 |