000007748 001__ 7748
000007748 005__ 20240626123055.0
000007748 02470 $$2doi$$a10.24868/issn.2631-8741.2020.009
000007748 035__ $$a4468411
000007748 037__ $$aGENERAL
000007748 245__ $$aAccuracy Benchmark of Galileo and EGNOS for Inland Waterways
000007748 269__ $$a2020-10-05
000007748 336__ $$aConference Proceedings
000007748 520__ $$aWhile Global Navigation Satellite Systems (GNSS) serve as a fundamental positioning technology for autonomous ships in Inland Waterways (IWW), in order to compensate for unexpected signal outages from constellations due to structures such as bridges and high buildings, it is not uncommon to use a sensor fusion setup with GNSS and Inertial Measurement Units (IMU)/Inertial Navigation Systems (INS). However, the accuracy of this fusion relies on the accuracy of the main localization technology itself. In Europe, Galileo and the European Geostationary Navigation Overlay Service (EGNOS) are two satellite navigation systems under civil control and they provide European users with independent access to a reliable positioning satellite signal, claiming better accuracy<br>
than what is offered by other accessible systems. Therefore, considering the potential utilization of these systems for autonomous navigation, in this paper, we discuss the results of a case study for benchmarking the accuracy of Galileo and EGNOS in IWW. We used a Coordinate Measurement Machine (CMM) and a sub-cm Real-Time Kinematic (RTK) service which is available in Flanders to quantify the benchmark reference. The results with and without sensor fusion show that Galileo has a better horizontal accuracy profile than standalone Global Positioning System (GPS), and its augmentation with EGNOS is likely to provide European IWW users more accurate positioning levels in the future.
000007748 542__ $$fCC-BY-4.0
000007748 6531_ $$aPositioning accuracy
000007748 6531_ $$aGNSS
000007748 6531_ $$aGalileo
000007748 6531_ $$aEGNOS
000007748 6531_ $$aInland Waterways
000007748 7001_ $$aYayla, Gokay$$uIntelligent Mobile Platforms (IMP) Research Group, Department of Mechanical Engineering, KU Leuven, Belgium
000007748 7001_ $$aVan Baelen, Senne$$uIntelligent Mobile Platforms (IMP) Research Group, Department of Mechanical Engineering, KU Leuven, Belgium
000007748 7001_ $$aPeeters, Gerben$$uIntelligent Mobile Platforms (IMP) Research Group, Department of Mechanical Engineering, KU Leuven, Belgium
000007748 7001_ $$aAfzal, Muhammad Raheel A$$uIntelligent Mobile Platforms (IMP) Research Group, Department of Mechanical Engineering, KU Leuven, Belgium
000007748 7001_ $$aCatoor, Tim$$uIntelligent Mobile Platforms (IMP) Research Group, Department of Mechanical Engineering, KU Leuven, Belgium
000007748 7001_ $$aSingh, Yogang$$uIntelligent Mobile Platforms (IMP) Research Group, Department of Mechanical Engineering, KU Leuven, Belgium
000007748 7001_ $$aSlaets, Peter$$uIntelligent Mobile Platforms (IMP) Research Group, Department of Mechanical Engineering, KU Leuven, Belgium
000007748 773__ $$tConference Proceedings of iSCSS
000007748 773__ $$jiSCSS 2020
000007748 789__ $$whttps://zenodo.org/record/4468411$$2URL$$eIsIdenticalTo
000007748 85641 $$uhttps://www.imarest.org/events/inec-2020/iscss-2020$$yConference website
000007748 8564_ $$98e90c2d3-21e3-4dce-b86c-f914b589c68a$$s1839993$$uhttps://library.imarest.org/record/7748/files/iSCSS_2020_Paper_20.pdf