2/3/2025 | 3:30 PM - 5:30 PM | Regency A

Infrastructure management through the fusion of artificial intelligence and high performance imaging

Author(s)

Du Wu | TokyoTech
Peng Chen | RIKEN Center for Computational Science
Enzhi Zhang | Hokkaido University
Jun Igarashi | RIKEN Center for Computational Science
Issac Lyngaas | ORNL
Xiao Wang | ORNL
Mohamed Wahib | RIKEN Center for Computational Science

Abstract

This presentation explores the integration of Artificial Intelligence (AI) with High Performance Imaging (HPI) to enhance road infrastructure management in Japan. By leveraging advanced AI techniques such as machine learning and computer vision, alongside cutting-edge imaging technologies, we address critical challenges in monitoring, analyzing, and maintaining large-scale infrastructures. The fusion of these technologies enables detection of structural issues, predictive maintenance, and resource optimization. We will highlight the transformative potential of AI and HPI in improving safety, efficiency, and sustainability across sectors such as construction, energy, and transportation. The discussion will highlight innovations in data processing, image analysis, and decision-making frameworks, emphasizing how this interdisciplinary approach can revolutionize infrastructure management.