Optimization-based sensor fusion of GNSS and IMU using a moving horizon approach

Abstract: The rise of autonomous systems operating close to humans imposes new challenges in terms of robustness and precision on the estimation and control algorithms. Approaches based on nonlinear optimization, such as moving horizon estimation, have been shown to improve the accuracy of the estimated solution compared to traditional filter techniques. This paper introduces an optimization-based framework for multi-sensor fusion following a moving horizon scheme. The framework is applied to the often occurring estimation problem of motion tracking by fusing measurements of a global navigation satellite system receiver and an inertial measurement unit. The resulting algorithm is used to estimate position, velocity, and orientation of a maneuvering airplane and is evaluated against an accurate reference trajectory. A detailed study of the influence of the horizon length on the quality of the solution is presented and evaluated against filter-like and batch solutions of the problem. The versatile configuration possibilities of the framework are finally used to analyze the estimated solutions at different evaluation times exposing a nearly linear behavior of the sensor fusion problem

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch
• Notes: Sensors. 17, 5 (2017), 1159, DOI 10.3390/s17051159, issn: 1424-8220 ; IN COPYRIGHT http://rightsstatements.org/page/InC/1.0 rs

Classification and Topics

• Classification: Industrielle und handwerkliche Fertigung
• Keyword: Multisensor ; Zustandsschätzung ; Nichtlineare Optimierung ; Trägheitsnavigation

Contributors, Places and Time

• Event: Veröffentlichung
• (where): Freiburg
• (who): Universität
• (when): 2017
• Creator: Girrbach, Fabian ; Hol, Jeroen D. ; Bellusci, Giovanni ; Diehl, Moritz
• Contributor: Albert-Ludwigs-Universität Freiburg. Lehrstuhl für Systemtheorie, Regelungstechnik und Optimierung ; Albert-Ludwigs-Universität Freiburg. Institut für Mikrosystemtechnik ; Albert-Ludwigs-Universität Freiburg. Fakultät für Angewandte Wissenschaften ; Albert-Ludwigs-Universität Freiburg

Further information

• DOI: 10.3390/s17051159
• URN: urn:nbn:de:bsz:25-freidok-131865
• Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 25.03.2025, 1:46 PM CET