Mateusz Wąsala

Mateusz Wąsala

Msc Mateusz Wąsala
Research and teaching assistant
PhD Student
wasala@agh.edu.pl

I am interested in embedded vision systems, in particular SLAM algorithms for ambient map generation and positioning of unmanned aerial vehicles. I also design and build equipment for these vehicles.

Computer Vision Event Cameras Hardware Acceleration Perception System Real-Time Processing SLAM SoC FPGA UAVs Visual Odometry

Experience

  1. Research and teaching assistant

    AGH University of Krakow
    I am conducting research on leveraging SoC computing platforms for autonomous visual perception in unmanned aerial vehicles (UAVs), with a particular focus on visual odometry and SLAM. My work involves classical algorithms, artificial intelligence methods, hybrid approaches, and event-based cameras. Additionally, I am responsible for conducting laboratory sessions with students on advanced vision systems and perception systems for mobile robotics.

  1. Software Engineer

    BlueCloud Sp. z o.o.
    I worked as a Software Engineer developing software applications, websites, and scripts using PHP, HTML, JavaScript, and CSS.

Education

  1. PhD candidate

    AGH Doctoral School, AGH University of Kraków
    Automation, Electronics, Electrical Engineering and Space Technologies

  1. Master of Science

    AGH University of Krakow
    Automatic Control and Robotics - Inteligent Control Systems - Vision Systems

  1. Bachelor of Engineering

    AGH University of Krakow
    Automatic Control and Robotics

Awards

  1. Obtaining NCN PRELUDIUM Grant

    Polish National Science Centre
    Project titled EEVONN - Embedded Event-Based Visual Odometry Using Neural Networks

  1. AMD Open Hardware Design Competition 2023 - Finalist in PhD category

    Advanced Micro Devices (AMD)
    Project titled Detection-segmentation solution for controlling an autonomous vehicle in traffic on a city model on a Kria KV260 platform

Publications

2023

  1. Preludium
    Detection-segmentation convolutional neural network for autonomous vehicle perception
    Maciej Baczmanski, Robert Synoczek, Mateusz Wasala, and Tomasz Kryjak
    In , Sep 2023
    DOI
  2. Preludium
    Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGA
    Maciej Baczmanski, Mateusz Wasala, and Tomasz Kryjak
    In , Sep 2023
    DOI

2022

  1. An efficient real-time FPGA-based ORB feature extraction for an UHD video stream for embedded visual SLAM
    Mateusz Wasala, Hubert Szolc, and Tomasz Kryjak
    Electronics, Sep 2022
    DOI
  2. Automotive perception system evaluation with reference data from a UAV’s camera using ArUco markers and DCNN
    Krzysztof Blachut, Michal Danilowicz, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, and 1 more author
    Journal of Signal Processing Systems for Signal, Image, and Video Technology, Sep 2022
    DOI
  3. Real-time CLAHE algorithm implementation in SoC FPGA device for 4K UHD video stream
    Tomasz Kryjak, Krzysztof Blachut, Hubert Szolc, and Mateusz Wasala
    Electronics, Sep 2022
    DOI
  4. Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream
    Mateusz Wasala and Tomasz Kryjak
    In , Sep 2022
    DOI

2021

  1. Automotive perception system evaluation with reference data obtained by a UAV
    Krzysztof Blachut, Michal Danilowicz, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, and 2 more authors
    In , Sep 2021
    DOI

2020

  1. A vision based hardwares̄oftware realt̄ime control system for the autonomous landing of an UAV
    Krzysztof Blachut, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, and Marek Gorgon
    In , Sep 2020
    DOI
  2. Optimisation of a Siamese neural network for realt̄ime energy efficient object tracking
    Dominika Przewlocka-Rus, Mateusz Wasala, Hubert Szolc, Krzysztof Blachut, and Tomasz Kryjak
    In , Sep 2020
    DOI