Self-Driving Car Nanodegree: Extended Kalman Filter Project

EKF for sensor fusion of Lidar and Radar data

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

IMU Pose Estimation Library

Extended Kalman Filter project as part of Udacity's Self-Driving Car Engineer Nanodegree

bicycle tracking using sensor fusion of lidar and radar measurements using ekf

Self-Driving Car Nanodegree Program: Unscented Kalman Filter Project

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

Extended Kalman Filter implementation 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).)

Self-Driving Car Nanodegree Program Extended Kalman Filter Project

Extended Kalman Filter predicting the position of a Bug.

The Kalman Filter applied to simulated environments.

Statistical tests for use with the Extended Kalman Filter

This repository is part of Udacity's Sensor Fusion Nanodegree, where the goal is to track an object using a combination of Lidar and camera data. By fusing different sensor modalities, the system improves detection reliability and precision using KF, EKF, and UKF techniques.

My little cutie Extended Kalman Filter framework based on C++. Implemented with template approach for modularity. Supports multiple EKF cores.

Extended Kalman Filter for UAV