Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
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Updated
Sep 11, 2021 - C++
Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
A robust sensor fusion library for online localization.
Software repository for estimating human dynamics
DiTEC research
Code/Examples for A New Approach to Robust Estimation of Parametric Structures
Robot payload estimation, based on: C. G. Atkeson, C. H. An, and J. M. Hollerbach, “Estimation of Inertial Parameters of Manipulator Loads and Links,” Int. J. Rob. Res., vol. 5, no. 3, pp. 101–119, Sep. 1986
C-library with implementation of the Induction Motor rotor speed anf flux estimators (observers)
Neyman–Pearson Detector (NPD) for saccadic eye movements
Flying car and autonomous flight engineer nanodegree (Udacity).
Signal-dependent noise estimator
A real-time camera based respiration rate estimator algorithm for neonatal records
Adaptive Model Predicitive Control - Matlab
Precise Point Positioning (PPP) is an advanced technique for absolute positioning using Global Navigation Satellite Systems (GNSS) with a single receiver. This approach relies on precise satellite orbit and clock information to achieve centimeter-level positioning accuracy. In this project, we process 4 hours of observation data from a Javad receiv
An implementation of an Unscented Kalman Filter (UKF) for parameter identification on MATLAB.
Code for "On the Semi-Blind Mutually Referenced Equalizers for MIMO Systems", APSIPA ASC, Taipei, Taiwan, Nov. 2023
Extended Kalman Filter estimation algorithm simulation
A statistical tool to estimate the proportion of hatchery-origin spawners using generalized least squares
BATTERY SOC ESTIMATION USING KALMAN FILTER IN MATLAB
University group project concerning the sensorless estimation of the contact forces between a needle mounted on the end-effector of a robot manipulator and a penetrated tissue, and subsequent prediction of layer ruptures using Recursive Least Squares algorithm.
An R package for simulating responses and estimating parameters to the Multi-Unidimensional Pairwise Preference (MUPP) Model
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