Mikhail Verkeenko

Highly skilled computer vision engineer with expertise in Visual-Inertial SLAM, visual odometry, and structure from motion. Proven ability to research, develop, and implement innovative algorithms for AR applications, including those for automotive (Wayray) and MR/VR headsets (Varjo). Proficient in C++, Python, CMake, Linux, ROS, and Git, with a strong understanding of unit testing, benchmarking, and data simulation. Experience in self-driving projects, including camera and lidar calibration and validation.

• Research and development of algorithms for Visual-Inertial SLAM system for the tracking of MR/VR headsets in the unknown environment.
• My work was related to all the modules in the tracking system.
• The researched and developed solutions were used for accurate inside-out tracking in VR3, XR3 and XR4 editions of the headsets.
• Simultaneously was leading the data simulation and data collection group in the team.

Different computer vision tasks for AR in automotive:

• Visual-inertial SLAM for Sensor Fusion for robust AR navigation.
• Lane detection and tracking for Lane Departure Warning and navigation accuracy improvement.
• Data simulation for benchmarking and machine learning.

Different computer vision tasks. Top 3 projects:

1. Structure From Motion and 3D reconstruction software for processing images from different sources.

2. Automatic orientation of space cargo ship relative to International Space Station using onboard camera for different distances.

3. Automatic high precision orientation of garden robot for volumetric objects cultivation using circular tags and multi-camera rig