877 citations · 1k across the 4 of their papers we have counts for
4 papers
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…
Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan
Kajiwara Kento, Jue Ma, Toshikazu Seto +3
In response to the declining population and aging infrastructure in Japan, local governments are implementing compact city policies such as the location normalization plan. To opti…
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…