Roads endure significant wear and tear from various sources, leading to cracks and other damages over time. Detecting micro-cracks and deeper layer damage can be challenging without the use of specialized tools. The traditional method of assessing asphalt base layer condition involves destructive core sampling, which is time-consuming and disruptive to traffic flow. To address these issues, researchers at the Fraunhofer Institute for Wood Research have collaborated on the SenAD2 project to develop a smart system for nondestructive monitoring of asphalt conditions.
