Real-Time Pose Estimation

Extended Kalman Filter Project for Self-Driving Car ND using C++

EKF for sensor fusion of Lidar and Radar data

EKF localization system for NAO robot

Excercises for COE-841 @ UFRJ

IMU Pose Estimation Library

Extended Kalman Filter Implementation for ICM-20948 with STM32-Nucleo using STM32CubeIDE

Self-Driving Car Nanodegree Program Extended Kalman Filter Project

Extended Kalman Filter predicting the position of a Bug.

Implemented an Extended Kalman Filter algorithm in C++ capable of tracking a pedestrian's motion in two dimensions.

A thesis on the development of a SLAM-based autonomous mobile robot using Arduino and Raspberry Pi

Simple EKF implementation of mobile robot

Trying to get orientation of an object based on accelerometer and qyroscope measurments, implementing Extended Kalman Filter.

Integration of the popular Cowrie honeypot with Elastic Stack

Production-ready sensor fusion platform: IMU, GPS, LiDAR, camera & telemetry fused by Kalman filter (C++/Eigen). Real-time, noise-robust, replay-ready. Dockerized.

Self-Driving Car Nanodegree: Extended Kalman Filter Project

Application of robot control tools

A comprehensive implementation and comparison of Kalman Filter (KF) and Extended Kalman Filter (EKF) algorithms for tracking and state estimation.

3-agent cooperative SLAM using ROS 2 and RTAB-Map. Distributed EKF for multi-agent pose estimation within 5cm of ground truth. 40% faster mapping vs single-robot baseline.

Header-only C++17/Eigen 15-state EKF for tightly-coupled UWB/IMU indoor positioning: ZUPT, magnetometer heading, height constraints, Joseph-form covariance updates.