Vedhus Hoskere
Papers
2
Total Citations
85
H-Index
2
About
Vedhus Hoskere is a leading researcher at the intersection of structural engineering, computer vision, and robotics, whose work is redefining how civil infrastructure is monitored and maintained. His primary research areas include autonomous visual inspection, digital twin technology, and physics-based synthetic data generation for infrastructure health assessment. Hoskere’s major contributions include developing a unified framework for creating digital twins of bridges, enabling real-time structural health monitoring through integrated sensor data and AI models. His most cited work, "Physics-Based Graphics Models in 3D Synthetic Environments as Autonomous Vision-Based Inspection Testbeds" (2022, 67 citations), pioneers the use of realistic synthetic environments to train deep learning models for autonomous inspection, addressing the critical challenge of limited real-world training data. This approach significantly reduces the risks and subjectivity of manual visual inspections. With over 85 total citations, Hoskere’s research is shaping the future of resilient infrastructure, combining cutting-edge computer graphics with practical engineering solutions. His work is essential reading for students and researchers exploring the convergence of AI, robotics, and civil infrastructure.
Research Focus
Key Achievements
Top Papers
- 1
- 2Unified framework for digital twins of bridges18 citations · 2025