Krzysztof Błachut

Krzysztof Błachut

Krzysztof Błachut
Research and teaching assistant
PhD Student
kblachut@agh.edu.pl

My research interests include embedded vision systems in flying and driving autonomous vehicles and in video surveillance systems. I use heterogeneous computing platforms with a particular focus on FPGAs for real-time implementation of frame and event-based data processing algorithms.

Computer Vision Event Cameras Graph Neural Networks Hardware Acceleration Object Detection Optical Flow Real-Time Processing SoC FPGA

Experience

  1. Research and teaching assistant

    AGH University of Krakow
    Research in hardware-accelerated image and video processing domains. Teaching students about implementation of vision algorithms on reprogrammable FPGA devices and in Python.

  1. Software tester

    Visiona Sp. z o.o.
    Testing of web applications.

Education

  1. PhD candidate

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

  1. Master of Science

    AGH University of Krakow
    Automatic Control and Robotics – Intelligent Control Systems – Vision Systems

  1. Bachelor of Engineering

    AGH University of Krakow
    Automatic Control and Robotics

Awards

  1. AMD Open Hardware Design Competition 2024 – Winner (PhD category)

    AMD
    Graph Convolutional Neural Networks for Event-Based Vision for AMD SoC FPGA

Publications

2024

  1. Optimising graph representation for hardware implementation of graph convolutional networks for event-based vision
    Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut, Andrea Pinna, and Tomasz Kryjak
    In , 2024
    DOI

2023

  1. High-definition event frame generation using SoC FPGA devices
    Krzysztof Blachut and Tomasz Kryjak
    In , 2023
    DOI
  2. Zliczanie szybkich obiektów z wykorzystaniem kamery zdarzeniowej
    Kamil Bialik, Marcin Kowalczyk, Krzysztof Blachut, and Tomasz Kryjak
    PAR Pomiary Automatyka Robotyka, 2023
    DOI

2022

  1. 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, 2022
    DOI
  2. Real-time CLAHE algorithm implementation in SoC FPGA device for 4K UHD video stream
    Tomasz Kryjak, Krzysztof Blachut, Hubert Szolc, and Mateusz Wasala
    Electronics, 2022
    DOI
  3. Real-time efficient FPGA implementation of the multi-scale Lucas-Kanade and Horn-Schunck optical flow algorithms for a 4K video stream
    Krzysztof Blachut and Tomasz Kryjak
    Sensors, 2022
    DOI
  4. Systemy wizyjne w zastosowaniach przemyslowych
    Marek Gorgon, Maciej Aleksandrowicz, Krzysztof Blachut, Andrzej Brodzicki, Zbigniew Bublinski, and 6 more authors
    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 , 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 , 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 , 2020
    DOI

2018

  1. Hardware implementation of multis̄cale LucasK̄anade optical flow computation algorithm – a demo
    Krzysztof Blachut, Tomasz Kryjak, and Marek Gorgon
    In , 2018