Environment perception for automated vehicles:- Semantic evidential grid mapping- Processing and fusion of data from Lidar, Radar and Vision- Object detection and tracking

Solving computer vision tasks for next generation AR/VR products:- State-of-the-art 3D sensing solutions using heterogeneous sensors- 3D reconstruction of indoor scenes based on different depth sensing techniques- Development of novel set of error metrics to evaluate 3D reconstruction quality

- 3D Image registration by cross-correlation maximization- Automated segmentation of CT-scans complex biological structures and subsequent geometrical evaluation of segmented structure layers- Correction of the missing-wedge effect in electron tomograms- 3D Fourier analysis and filtering in Fourier space

- Construction of algorithms for automated segmentation of 3D CT-scans of oil filter elements- Geometrical evaluation of the segmented image data in Matlab

3D Image Analysis