Bridge condition anomaly detection using remote sensing

This $210,240.07 Formula Grant award from the Federal Highway Administration (CFDA 20.205 - Highway Planning and Construction) supports the "Bridge Condition Anomaly Detection Using Remote Sensing" project led by the Alaska Department of Transportation & Public Facilities. The project aims to develop a generalized workflow to establish a baseline model and conduct anomaly detection for identifying damage in bridges using remote sensing-based nondestructive techniques. Key tasks include literature review, laboratory trials, field data collection, data processing and analysis, anomaly detection, and final reporting. This grant represents part of the broader Federal-aid Highway Program, which provides funding to states for highway construction, preservation, and improvement projects across the United States.

Project description

Develop a generalized workflow to establish a baseline model and conduct anomaly detection for damage identification in bridges using remote sensing-based nondestructive techniques. Task 1: literature review; task 2: laboratory trials and bridge site selection; task 3: field data collection; task 4: data processing and analysis; task 5: anomaly detection using the baseline model; task 6: recommendations and final report.