Aicedrone Rail

The AICEDRONE Rail system enables the automation and enhancement of civil engineering activities for railway infrastructure projects through the development of software tools that integrate the latest 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 railway construction units and other elements of interest in civil engineering projects where ROVER RAIL carries out its railway construction and maintenance activities. This solution makes it possible to georeference different sections of the railway alignment during the construction phase, enabling continuous monitoring and quality control over time. To achieve this, Artificial Intelligence techniques have been combined with geomatics constraints derived from 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 Rail system incorporates state-of-the-art photogrammetric cameras, high-resolution drone-acquired orthophotos, and LiDAR sensors, deployed through drone flights conducted over railway construction corridors.

The system has been validated and implemented through a web-based application featuring cartographic viewers for rail track detection, as well as the monitoring and quality control of construction activities during the execution of the New High-Speed Rail Access Canal Project in Valencia, where ROVER RAIL carries out its construction operations.

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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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