Aicedrone Road

The AICEDRONE Road system enables the automation and enhancement of civil engineering activities for road infrastructure projects through the development of software tools that integrate the latest technological advances in Artificial Intelligence (AI), drone-mounted sensors (robotics), and high-performance computing.

The main objective of this technology is the development of a software solution for the detection and digital modeling of the 3D geometry of construction units and other elements of interest in civil engineering projects where ROVER INFRAESTRUCTURAS carries out its road construction and maintenance activities. This solution makes it possible to georeference different sections of a project during the construction phase, enabling work progress monitoring and road marking quality control over time. To achieve this, Artificial Intelligence techniques have been combined with photogrammetric models and LiDAR-generated point clouds, applying the latest advances in drone-based computer vision technology.

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Data processing and modeling have been carried out using high-performance computing, based on georeferenced images and 3D point clouds captured by drone-mounted sensors. The AICEDRONE Road system incorporates state-of-the-art photogrammetric cameras, high-resolution drone-acquired orthophotos, and LiDAR sensors for highly accurate geometric modeling.

The system has been validated and implemented through a web-based application featuring cartographic viewers, enabling the monitoring and quality control of horizontal road markings during road civil engineering construction works in which ROVER INFRAESTRUCTURAS carries out its construction activities.

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The project was carried out by ROVER in collaboration with the University of Castilla-La Mancha, with funding provided by the Spanish State Secretariat for Digitalization and Artificial Intelligence through the NextGenerationEU European funds.

 

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