Geo-Referencing of a Multi-Sensor System Based on Set-Membership Kalman Filter
- verfasst von
- Ligang Sun, Hamza Alkhatib, Jens André Paffenholz, Ingo Neumann
- Abstract
In this paper, a novel set-membership Kalman filter is applied on a data set which is obtained from a real world experiment. In this experiment, taken from the scope of georeferencing of terrestrial laser scanner, a multi-sensor system has captured the trajectory of two GNSS antennas. The dynamical system contains the random uncertainty and set-membership uncertainty simultaneously. Both estimated results from classic extended Kalman filter and novel set-membership Kalman filter are shown and compared. Detailed analysis of the set-membership Kalman filter is given in the end.
- Organisationseinheit(en)
-
Geodätisches Institut
- Typ
- Aufsatz in Konferenzband
- Seiten
- 889-896
- Anzahl der Seiten
- 8
- Publikationsdatum
- 05.09.2018
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Maschinelles Sehen und Mustererkennung, Signalverarbeitung, Statistik, Wahrscheinlichkeit und Ungewissheit, Instrumentierung
- Elektronische Version(en)
-
https://doi.org/10.23919/ICIF.2018.8455763 (Zugang:
Geschlossen)
