A prior learning and sampling model informed tool for learning with Single Cell RNA-Seq data

Explore the world of UAV-State-Estimation, a detailed Python repository focusing on 3D state estimation for unmanned aerial vehicles (UAVs) through the use of Kalman Filter methods. This repository uniquely merges theoretical frameworks and hands-on simulations, making it an ideal resource for both drone enthusiasts and experts in drone technology.

Implementation of a simple 2D EKF with lidar and radar measurements

The programs written over the summer of 2021 while working for the University of Delaware's Information and Decision Sciences (IDS) Lab. For more information about the lab and its other projects, please visit https://sites.udel.edu/ids-lab/ . This repository and README will be updated somewhat reguarly as progress is made on these projects.

Estimating axis of rotation using world-frame observations of points on rigid body

Utilize a kalman filter to estimate the state: position_x, position_y, velocity_x,velocity_y of a moving object of interest with noisy lidar and radar measurements.

Artificial Intelligence > Machine Learning > Deep Learning

The "GBEES" repsository containes the codebase accompying the paper "State Estimation of Chaotic Trajectories: A Higher-Dimensional, Grid-Based, Bayesian Approach to Uncertainty Propagation" presented at the January 2024 AIAA/AAS Space Flight Mechanics Meeting.

The `KalmanFilter` class implements the Kalman Filter algorithm for estimating the state of linear dynamic systems using noisy measurements. The class accepts system matrices, initial state, and covariance, and provides `predict` and `update` methods for state prediction and refinement based on new observations.

Coursework from Self Driving Car Specialization on Coursera

A 2 dimensional particle filter in C++

In this project, I developed the estimation portion of my controller for the drone in the Udacity CPP simulator. My simulated quad is now able to fly with my estimator and my custom controller (from project 3).)

State estimation of a Dubin's Car using Extended Kalman Filter

Pure MATLAB implementations of Kalman and Extended Kalman filters.

State estimation algorithm for predicting the location of an agent, given its recorded observations.

Library to find the Probability Estimation of Navigation Paths and their Pattern Prediction.

A UAV project that impliments several algorithms to perform food delivery in Urban like cities , C University used as test environement

Navigation algorithms implemented on ROS2 Turtlesim

SBG ROS2 Driver: A ROS2-compatible repository providing seamless integration with SBG Systems' Inertial Measurement Unit (IMU) for precise state estimation in autonomous vehicles.