ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 433-440, 2016
https://doi.org/10.5194/isprs-annals-III-3-433-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
06 Jun 2016
GEMMA: A GENERIC, EXTENSIBLE AND MODULAR MULTI-SENSOR NAVIGATION ANALYSIS SYSTEM
J. A. Navarro1, M. E. Parés1, and I. Colomina2 1CTTC, Av. Carl Friedrich Gauss 7, 08860 Castelldefels, Spain
2GeoNumerics S.L., Av. Carl Friedrich Gauss 11, 08860 Castelldefels, Spain
Keywords: Trajectory determination systems, Research toolset, Navigation, Sensor orientation Abstract. This paper presents the concept of an architecture for a system that helps researchers in the field of Geomatics to speed up their daily research on kinematic geodesy, navigation and positioning fields. The presented ideas correspond to an extensible and modular software system aimed at the development of new navigation and positioning algorithms as well as at the evaluation of the performance of sensors. The concept, already implemented in the CTTC’s system GEMMA is generic and extensible. This means that it is possible to incorporate new navigation algorithms or sensors at no maintenance cost. Only the effort related to the development tasks required to either create such algorithms or model sensors needs to be taken into account. As a consequence, change poses a much smaller problem for CTTC’s research activities is this specific area. This system includes several standalone tools that may be combined in different ways to accomplish various goals; that is, it may be used to perform a variety of tasks, as, for instance, (1) define positioning and navigation scenarios, (2) simulate different kinds of sensors, (3) validate new navigation algorithms or (4) evaluate the quality of an estimated navigation solution.
Conference paper (PDF, 2590 KB)


Citation: Navarro, J. A., Parés, M. E., and Colomina, I.: GEMMA: A GENERIC, EXTENSIBLE AND MODULAR MULTI-SENSOR NAVIGATION ANALYSIS SYSTEM, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 433-440, https://doi.org/10.5194/isprs-annals-III-3-433-2016, 2016.

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