currently working on H2020 SPRING project!
Research in field of visual and semantic localization.
Research in field of camera calibration, visual localization and deep geometry, participation in H2020 Up-Drive and H2020 SPRING projects.
Focus on production optimization, scheduling and simulation. Development and implementation of scheduling algorithms.
Advisor: Tomáš Pajdla
Program: Open Informatics - Computer Vision and Image processing
Thesis: “Camera Rig Calibration” | Advisor: Tomáš Pajdla
Program: Open Informatics - Computer Science
Thesis: “Automatic Colouring Book Creation on Touch Devices with OS Android” | Advisor: Daniel Průša
Development of CIIRC CRCT - Camera Rig Calibration Toolbox. It has been used for sensor fusion in Up-Drive project. Yet to be published.
Research in camera modeling using deep nerual networks.
Research in visual localization, map representation for dynamic environments, semantic localisation and mapping, metric-semantic map representation.
Teaching of Advanced Robotics course at CTU.
Teaching of Geometry for Computer Vision and Graphics course at CTU.
Cycling to work, cycling on holidays, long distance cycling.
Public Deliverable for EU H2020 SPRING project.
I have experience leading practicals for following courses:
Citation from course Content: "We will explain some fundamental notions appearing in advanced robotics. We shall, e.g., explain how to solve the inverse kinematics task of a general serial manipulator with 6 degrees of freedom. There is a general solution to this problem but it can't easily be obtained by elementary methods. We shall present some more advanced algebraic tools for solving algebraic equations. We will also pay special attention to representing and parameterizing rotations and motions in 3D space. We will solve simulated problems as well as problems with real data in labs and in assignments."
Citation from course Content: "We will explain the basics of Euclidean, Affine and Projective geometry and show how to measure distances and angles in a scene from its images. We will introduce a model of the perspective camera, explain how images change when moving a camera and show how to find the camera pose from images. We will demonstrate the theory in practical tasks of panorama construction, finding the camera pose, adding a virtual object to a real scene and reconstructing a 3D model of a scene from its images. We will be building on our previous knowledge of Linear algebra and will provide fundamentals of geometry for computer vision, computer graphics, image processing and object recognition."