Michał Daniłowicz

Michał Daniłowicz

Msc Michał Daniłowicz
Research and teaching assistant
PhD Student
danilowi@agh.edu.pl

I am interested in control systems based on computer vision and artificial intelligence, in particular object detection and tracking. I investigate the possibility of their implementation on platforms such as GPUs and FPGAs.

Computer Vision Embedded AI Hardware Acceleration Object Detection Object Tracking

Experience

  1. Research and Teaching Assistant

    AGH University of Krakow
    I am conducting research on object tracking algorithms and hardware acceleration of AI algorithms. I am also teaching courses in digital image processing and programming.
  1. FPGA designer

    Nokia
    Responsible for design verification with UVM and project build scripts.
  1. C++ developer intern

    Ericsson
    Development of a distributed embedded system for antenna position control.

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

Publications

2022

  1. Automotive perception system evaluation with reference data from a UAV’s camera using ArUco markers and DCNN
    Journal of Signal Processing Systems for Signal, Image, and Video Technology, 2022
  2. Embedded object detection with custom LittleNet, FINN and vitis AI DCNN accelerators
    Michal Machura, Michal Danilowicz, and Tomasz Kryjak
    Journal of Low Power Electronics and Applications, 2022
  3. Real-time embedded object tracking with discriminative correlation filters using convolutional features
    In , 2022
  4. Systemy wizyjne w zastosowaniach przemyslowych
    Marek Gorgon, Maciej Aleksandrowicz, Krzysztof Blachut, Andrzej Brodzicki, Zbigniew Bublinski, and 6 more authors
    2022

2021

  1. Automotive perception system evaluation with reference data obtained by a UAV
    In , 2021