Participation in the SUMA event
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Next June 29th, the SUMA event organized by the Parque Científico Tecnológico from the ULPGC will be held online. This event focuses on sharing experiences between the corporate sector and the research community. In this respect, the primary objectives are promoting research transfer and contributing to collaboration on innovation projects.

Prof. Agustín Trujillo Pino, member of the Imaging Technology Center (CTIM), will attend the SUMA event. Prof. Trujillo will present a project about LIDAR point-clouds processing (under development currently), offering similar collaborations by sharing the acquired know-how.


Service for LIDAR point-clouds analysis and processing:

LIDAR (Laser Imaging Detection and Ranging) technology is an optic remote sensing technique, based on infrared laser light pulses emitted over a surface that, depending on the elapsed time to return the transmitter, allows defining the exact coordinates (x,y,z) of a dense point-cloud of the surface.


Processing such a point-cloud, from LIDAR data, it is possible to obtain a tridimensional model of the surface which elements can be characterized, as well as to identify discontinuities or incongruous elements.


The point cloud provided by LIDAR data comprises, apart from (x,y,z) coordinates, other additional features of such points. Nevertheless, to determine an image over the scanned surface, it is necessary to process LIDAR data by using information systems that allow recognizing each one of the elements on such a surface.


In this regard, the service provided by the Imaging Technology Center (CTIM) is twofold. On the one hand, it involves the development of custom solutions that, based on Artificial Intelligence systems, allows to analyze and process LIDAR data, considering the type of application on which this technology has been used. And, on the other hand, the development of applications for the visualization and representation of the tridimensional models reconstructed from the processing of such data, obtaining a virtual image of the scanned element.



You can find more information at this link.