Software Engineer

Technical Skills:

Python, C/C++, Assembly, Linux, Redis, Docker, Bash, Git.

Education

B.Sc Electrical Engineering | Linköping University

Experience

Summer Intern @ Toyota Material Handling Sweden

• Developed a GUI tool for performing testing of hardware units.
• Built with Python and utilizing the convenience of JupyterLab’s notebooks.

Bachelor Thesis @ Toyota Material Handling Sweden

• Investigated the feasibility of using Aruco markers for autonomous zone localization in warehouses utilizing only a single camera as the only sensor.
• Built a monocular odometry system enabling:
  • Camera calibration.
  • Pose estimation of detected Aruco markers, allowing for distance and heading to be calculated.
• Built a navigation control system that localized, based on the ID’s of detected markers, what zone the vehicle is situated in and enforces a speed limit on the vehicle accordingly.

Projects

MonoVision - Monocular Odometry System

Inspired by the work on my bachelor thesis I continued to develop the python framework used for the thesis on my spare time.

Project now includes:

• Camera calibration.
• Aruco detection and pose estimation enabling distance and heading to be calculated.
• ORB-feature detection and matching between frames.
• Various visual odometry functions.

In progress items:

• FastSLAM implementation

Publications

1. B. Bolgakov and A. Frank, ‘Camera Calibration for Zone Positioning and 2D-SLAM : Autonomous Warehouse Solutions for Toyota Material Handling’, Dissertation, 2023.