This code is associated with the paper submitted to Encyclopedia of EEE titled: Robot localization: An Introduction

Labs for 3630

Implementation of 2D particle filter for localisation

Submission project for Udacity's self-driving car program having to do with using a particle filter for vehicle localization

Udacity Self-Driving Car Engineer Nanodegree. Project: Kidnapped Vehicle

2D Particle Filter for localization using lidar sensor data

Localization

Implementation of a particle filter to localize a vehicle in combination with map data.

Implement Particle Filter In C++

Particle Filter implementation in C++

Indoor Localization using a Combination of Mobile Phone Sensors

Implement of a particle filter and combine it with a real map to localize a vehicle

This repository contains C++ code for implementation of Particle Filter to localize a vehicle kidnapped in a closed environment. This task was implemented to partially fulfill Term-II goals of Udacity's self driving car nanodegree program.

Implementation of filters for Mobile Robot Localization

Android application for phone unlocking over Wi-Fi connection using particle filtering algorithms. [Intel] [Summer 2016]

Final projects of Intelligent Mobile Robotics gradutate course -- 2018 2nd semester

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

MATLAB implementation of control and navigation algorithms for mobile robots