Visualization of automated multi‐sensor NDT assessment of concrete structures (NDT Data Fusion)

Nondestructive testing(NDT) of concrete buildings allows efficient repair measures. Multi-sensor platforms collect large data sets but the data analysis is typically performed manually. Data Fusion uses the full potential of a multi-sensory data set in order to: - improve information quality (reliability, robustness, accuracy, clarity, completeness) - enable automated algorithm based data analysis. This poster summarizes results of the IGSTC-project entitled "NDT-Data Fusion" (short title) and demonstrates a significant improvement in the testing performance for the example of corrosion detection.