We have just held the kick-off meeting (KOM) of the IA4ROAD project, a project led by CATEC for the Government of the Canary Islands, which aims to develop an advanced road surface auscultation system using advanced measurement techniques combined with Deep Learning.
This is a new project for our technology centre, as the aim is to inspect road surface defects at high traffic speeds. Our unit has experience in detecting defects with artificial vision and AI techniques (in the industrial sector) but AI4ROAD is one of the first projects of this type, applied to road infrastructures.
The combination of different sensor technologies, such as stereo cameras, laser profilometers, defect location, application of AI models for automatic pavement condition assessment makes it a novel development.
The project, which has a duration of 24 months, is being developed for the Laboratory and Construction Quality Service of the Ministry of Public Works, Housing and Mobility of the Canarian government.
The first relevant milestone is expected at the end of the year, coinciding with the end of sub-phase 1 of the project, where the first road surface auscultation tests will be carried out.
