Project details for GP RTSS

Logo GP RTSS 1.0

by marc - March 21, 2012, 08:43:52 CET [ BibTeX BibTeX for corresponding Paper Download ]

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Description:

This software package provides a Matlab implementation of the GP-ADF and the GP-RTSS as described in

Marc Peter Deisenroth, Ryan Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen: "Robust Filtering and Smoothing with Gaussian Processes" in IEEE Transactions on Automatic Control (2012)

The software package also contains implementations of the following filters/smoothers: - GP-ADF/GP-RTSS - Gibbs-filter/Gibbs-RTSS [Deisenroth and Ohlsson, ACC 2011] - EKF/EKS - UKF/URTSS - CKF/CKS

We provide a demo script: demo_gprtss.m

The code requires MatlabR2007a or newer.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: Matlab
Tags: Approximate Inference, Filtering, Smoothing, Gaussian Process, Dynamical System
Archive: download here

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