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  • 👋 Hi, I’m @PanKarfa
  • 👀 I’m interested in robotics, prototyping, sensing.
  • 🌱 I’m currently learning all sorts of interesting stuff in engineering.
  • 💞️ I’m looking to collaborate on robotic projects and software development.
  • 📫 How to reach me [email protected]

PanKarfa's Projects

3dmr icon 3dmr

3D Multi-Robot Exploration, Patrolling and Navigation.

5gc_apis icon 5gc_apis

RESTful APIs of main Network Functions in the 3GPP 5G Core Network

5gdataset icon 5gdataset

In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.

amcl3d icon amcl3d

Adaptive Monte Carlo Localization (AMCL) in 3D.

baggetfilter icon baggetfilter

Qt Gui tool which allows manipulating rosbag in a user-friendly way. It allows you to export any topics into csv files, filter the useful ones (even tf) into a lightweight rosbag and modify timestamps with only few clicks . On top of that, this tool can play rosbag with all the different rosbag arguments and don’t need any dependencies.

book-resource-allocation icon book-resource-allocation

Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013

cell-free-book icon cell-free-book

Book PDF and simulation code for the monograph "Foundations of User-Centric Cell-Free Massive MIMO" by Özlem Tugfe Demir, Emil Björnson and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2021.

cg_mrslam icon cg_mrslam

A ROS package that implements a multi-robot SLAM system using the condensed graphs approach

ch343ser_linux icon ch343ser_linux

USB driver for USB to serial chip ch342, ch343, ch344, ch9101, ch9102, ch9103, etc

chatgpt icon chatgpt

🤖 ChatGPT Desktop Application (Mac, Windows and Linux)

cooperative-localization-of-three-vehicles icon cooperative-localization-of-three-vehicles

Estimation of the states and their associated covariance of three vehicles moving around a round-about, the dataset is real and comes from the GNSS and the sensors implanted on the vehicles.

ct_icp icon ct_icp

CT-ICP: Continuous-Time LiDAR Odometry

d2slam icon d2slam

$D^2$SLAM: Decentralized and Distributed Collaborative Visual-inertial SLAM System for Aerial Swarm

dcsam icon dcsam

Factored inference for discrete-continuous smoothing and mapping.

deep-autoencoders-cartography icon deep-autoencoders-cartography

This repository contains the code reproducing the results in the paper "Deep Completion Autoencoders for Radio Map Estimation"

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