Personal statement

I am currently a master student at D-ITET at ETH Zurich focusing on Computer Vision, Robotics and Machine Learning. Before my master studies, I was an intern in the Fuel Economy department at Volvo Cars after I graduated my BSc in Electrical Engineering at the University of Applied Sciences of Eastern Switzerland (FHO) with honors.


Main interests: SLAM, Structure from Motion, Bundle Adjustment, Autonomous Navigation, Semantic Segmentation.

Technical skills

C/C++, Java, C#

Python, MATLAB

OpenCV, ROS, Eigen, Ceres Solver, wxWidgets, Qt

Linux, vim, LaTeX

Education

MSc in Information Technology and Electrical Engineering

ETH Zurich

Areas of specialisation: Computer Vision, Machine Learning, Robotics, Estimation and Control

2016-

BSc in Electrical Engineering

HSR

Areas of specialisation: Signal Processing, Digital Image Processing, Embedded Systems, Software Engineering

Graduated with honors

2012-2015

Projects

Efficient Smoothing of Dilated Convolutions for Image Segmentation

Data Analytics Lab

In this Deep Learing course project an efficient method to smooth dilated convolutions for image segmentation is introduced and tested against several datasets.
Details
Report Paper
GitHub
Keywords: Computer Vision, Deep Learning, Image Segmentation, Semantic Segmentation, Dilated Convolution, Atrous Convolution

High Accuracy Visual Inertial SLAM for Autonomous Navigation of small UAVs

Vision for Robotics Lab

The goal of this project was to develop a framework achiving accurate pose estimations enabling autonomous navigation of a small UAV equipped only with visual-inertial sensors and an embedded processor with limited resources.
Details
Thesis
GitHub
Keywords: Robotics,Visual Inertial SLAM, Visual Inertial Odometry, Optimiaztion

Rolling-Shutter-Aware Differential SfM and Image Rectification

Computer Vision and Geometry Group

In this 3D Vision course project a method to rectify the distortion of Rolling-Shutter camera and estimate its relative motion was implemented.
Details
Report
Poster
GitHub
Keywords: Computer Vision, Differential Structure from Motion, Rectification, Rolling Shutter, Bundle Adjustment, Optimization

Adaptive Compensation of electromagnetic Forces

ICOM

The goal of this research was to analyze the physical effects of wireless power transmission on a high precision balance. A fully automatic measurement setup was created and experiments design to capture the occuring forces. With these insights a compensation algorithm was proposed which is able to compensate 95% of the occuring weight deviation during balance measurements.
Details
Poster
Keywords: Digital Signal Processing

Bluetooth Low Energy based View Direction Estimation

ICOM

The goal of this semester project was to estimate the view direction of an opposite person. Based on the rssi values of two Bluetooth LE beacons mounted on each side of the head a offline algorithm was developed which can classify the view direction into four regions.
Details
Keywords: Digital Signal Processing, Whireless Communication