English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Robust Gaussian Filtering using a Pseudo Measurement

MPS-Authors
/persons/resource/persons85090

Wuethrich,  Manuel
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons202607

Garcia,  Cifuentes Cristina
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons118771

Trimpe,  Sebastian
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons85085

Meier,  Franzi
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons85081

Bohg,  Jeannette
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons202605

Issac,  Jan
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons76037

Schaal,  Stefan
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

Link
(Any fulltext)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Wuethrich, M., Garcia, C. C., Trimpe, S., Meier, F., Bohg, J., Issac, J., et al. (2016). Robust Gaussian Filtering using a Pseudo Measurement. In D. Abramovitch, & G. Chiu (Eds.), Proceedings of the American Control Conference (ACC 2016) (pp. 3606-3613). New York, NY, USA: IEEE. doi:10.1109/ACC.2016.7525473.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-1A24-8
Abstract
There is no abstract available