Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

This project implements a bias-aware 2D state estimator that fuses IMU acceleration and GPS position to address two fundamental problems in robotics localization: - IMU drift caused by accelerometer ...

Researchers say a lightweight UAV can “smell” its way to an odour source indoors, relying on a minimal sensor setup and a reproducible simulation-to-real system.

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...

Abstract: This article proposes a data-driven distributed Kalman filter (DKF)-based sensor fault isolation and estimation scheme for large-scale interconnected dynamic systems, composed of ...

Abstract: Energy-efficient Kalman filter (KF) designs are inevitable in multiple-object tracking (MOT), a challenging computer vision task, for real-time mobile applications such as smart glasses, ...

Professor Serkan Kalman teaches Economics courses in the Political Science and Economics Department at Rowan University. He received both a Master of Science degree in Finance from Vienna University ...

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 ...