162 citations · 167 across the 3 of their papers we have counts for
3 papers · 1 filter
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh +4
This paper summarizes the Crowdsensing-based Road Damage Detection Challenge (CRDDC), a Big Data Cup organized as a part of the IEEE International Conference on Big Data'2022. The…
Global Road Damage Detection: State-of-the-art Solutions
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh +4
This paper summarizes the Global Road Damage Detection Challenge (GRDDC), a Big Data Cup organized as a part of the IEEE International Conference on Big Data'2020. The Big Data Cup…
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto +2
Research on damage detection of road surfaces using image processing techniques has been actively conducted, achieving considerably high detection accuracies. Many studies only foc…