The ongoing research focuses on moving one step closer towards implementing a digital inspection technique for tunnels. The aim is to work closely with inspectors and owners of infrastructures to validate and show the reliability of the results from an autonomous and digital inspection.  

To accomplish this, in the next year the research activities will focus on the following WP:

• WP1 Data collection and management 

  • collection of data in 2-3 tunnels in collaboration with WSP and manual inspectors

• WP2: Crack detection and measurement 

  • improvement  of the deep learning algorithm for automatic crack detection 

  • investigation of trained model transferability

• WP3: Data visualization 

  • development of a methodology to present the results from the digital inspection in a user-friendly visualization tool

• WP4: Structural assessment of damaged tunnels 

  • investigation of risk assessment associated with cracks in tunnel linings 

  • definition of threshold values for different risk levels of cracks

• WP5: Comparison of digital and human inspection 

  • evaluation and comparison of the results from a digital inspection to in-situ inspections performed by experts