Table of Contents: :: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Liu, Weitao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2511.19157
Tags:	Add Tag No Tags, Be the first to tag this record!

Table of Contents:

This paper introduces a novel Kalman filter framework designed to achieve robust state estimation under both process and measurement noise. Inspired by the Weighted Observation Likelihood Filter (WoLF), which provides robustness against measurement outliers, we applied generalized Bayesian approach to build a framework considering both process and measurement noise outliers.