IEEE

Kalman Filtering With Queued Measurements Under Non-Gaussian Noisy Environment

Abstract: The Kalman filter is a widely used computational tool for estimating unknown internal states of dynamical systems using noisy measurement data. In modern technologies, measurement data is ...
IEEE

Structured Kalman Filter for Time Scale Generation in Atomic Clock Ensembles

Abstract: In this letter, we present a structured Kalman filter associated with the transformation matrix for observable Kalman canonical decomposition from conventional Kalman filter (CKF) in order ...
Boston College

In Memoriam: Gabor Kalman

Longtime distinguished research professor was a leader in the field of plasma physics Distinguished Research Professor of Physics Emeritus Gabor Kalman, a presence in the department for 48 years and a ...
GitHub

MSCKF (Multi-State Constraint Kalman Filter) implementation in Python

MSCKF (Multi-State Constraint Kalman Filter) is an EKF based tightly-coupled visual-inertial odometry algorithm. S-MSCKF is MSCKF's stereo version. This project is a Python reimplemention of S-MSCKF, ...