Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
-
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
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
Code/Examples for A New Approach to Robust Estimation of Parametric Structures
DiTEC research
A real-time camera based respiration rate estimator algorithm for neonatal records
RadEst is a repo for atmospheric parameters estimation using Optimal Estimation (PyOptimalEstimation) and onboard radiometer observations.
Signal-dependent noise estimator
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.
Code for "On the Semi-Blind Mutually Referenced Equalizers for MIMO Systems", APSIPA ASC, Taipei, Taiwan, Nov. 2023
• Attitude Estimation based on Extended Kalman Filtering method. • Gyro bias estimation to improve the robustness of the algorithm. • Attitude prediction to be done using gyro output. • Attitude is updated using accelerometer and magnetometer output.
An implementation of an Unscented Kalman Filter (UKF) for parameter identification on MATLAB.
This Repository contains projects from Robotics specialization- Estimation and Learning from Coursera offered by the University of Pennsylvania- Instructor: Prof. Daniel Lee
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
Adaptive Model Predicitive Control - Matlab
Develop a machine learning model using PPG signals to non-invasively estimate blood pressure changes in anesthetized patients during surgery. Exploring the potential of PPG-based devices for continuous patient monitoring. collaborate with:
An R package for simulating responses and estimating parameters to the Multi-Unidimensional Pairwise Preference (MUPP) Model
Add a description, image, and links to the estimation-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the estimation-algorithm topic, visit your repo's landing page and select "manage topics."