This webinar presents a set of comprehensive automated crack analysis algorithms based on a combination of deep learning and UAV images.
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Resilience-Based Design: Improving Reliability Under Uncertain Conditions
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Calibration – Making Predictions Match Performance
Microrobotics – The Future of Drug Delivery
Evaluation of Pavement Performance and Condition Using Numerical Simulation
AI Application on Pavement Crack Detection Using UAV
Transitioning from Manual to Automated Distress ID for FDOT’s Statewide Pavement Condition Survey
ARA Otonos Augmented Reality
Knowledge-Guided Machine Learning for Geotechnical Resilience
ARA Systems Engineering
PAVEAIR: FAA’s Free Pavement Management Software
Research Supporting Safe Transportation of Hazardous Materials by Rail
ARA Pathfinder Receiver Station Overview
Research on Automated Vehicle (AV) Readiness: Funding and Timing Challenges for Instratructure
Earth Retaining Structures: the Forgotten Infrastructure Feature
Pathfinder Emplacement
Otonos for Construction & Forestry – Robotics and autonomy for heavy equipment