Geodesy and Navigation

The Geodesy and Navigation Department (GEON) does research in the integration of any available sensor for local geodetic applications both in their geometric and physical aspects. The GEON staff constitutes a multidisciplinary team with strong backgrounds in cartography, geodesy, geography, mathematics, electronic engineering and computer science. Over the years, the GEON Department has developed theoretical, software development, hardware integration and educational capabilities, through the realization of applied research projects and continuous education programmes. The GEON Department has a record of cooperation with other academic groups, with private companies and with public administration at the international level, with partners in Europe and the Americas .

The research of the GEON group deals with acquisition, normalization, automatic classification, visualization and management of georeferenced data and its usability for several applications. The group aims to go a step beyond on these fields applying the three geodetic pillars: correct modelling, data redundancy and data heterogeneity.More specifically, the group does research on static and kinematic point and gravity field determination. This includes, for instance, precise positioning and navigation with INS/GPS or INS/Galileo, LiDAR and imaging sensor orientation and calibration, and kinematic INS/GPS gravimetry among other topics.

The technologies currently used by GEON are satellite navigation, inertial sensing and digital image/ranging sensing. Its methods are those of geodesy which, in turn, are based on redundant measurements, deterministic and stochastic modelling, statistical testing, signal analysis, numerical analysis and algorithmic design. The combination of these technologies and methods results in a research capacity beyond geodesy. For instance, radiometric sensor calibration, multi-sensor matching and multi-sensor data fusion have recently entered the GEON agenda.

Figure: Building 3D model. Generated from small UAV images.

Current and recent drivers have resulted in the following activity areas:

* precise and robust integrated navigation,

* precise and robust kinematic positioning and trajectory determination,

* precise and robust sensor orientation and calibration,

* new platforms and paradigms for high-resolution geodata acquisition.