To be updated soon ...

I did my PhD at the Autonomous Systems Lab at ETH Zurich in the context of the EU FP7 project sFly. The obective of the project was to develop several small and safe drones which can fly autonomously in city-like enviroments and which can be used to assist humans in tasks like rescue and monitoring. The project lead to a first-time demonstration of fully autonomous, vision-inertial based flight in GPS-denied, large-scale environments.

 

Webpage:  http://www.sfly.org

Video 1: Link

Video 2: Link

After my PhD at ETH, I worked as a post-doc on the project V-Charge, which combined e-mobility with autonomous valet parking to spark customer’s interest in electric vehicles (EV) via improved parking and charging comfort and enhanced safety during regular operation. My contributions were generalized camera pose estimation algorithms building the foundation of the car's visual ego-motion estimation pipeline with the on-board four-camera system installed in the front, back, and side-mirrors.

 

Webpage (with Video):  http://www.v-charge.eu

In 2015, I was awarded a prestiguous fellowship from the Australian Research Council, called Discovery Early Career Researcher Award (DECRA). The project was entitled "In-person tele-presence: Next generation tele-presence through hybrid camera networks". ​​It aims at novel theories and algorithms for live capturing of accurate dense 3D models of moving subjects based on hybrid camera networks. The latter consist of a mix of static external RGB-D cameras and a dynamic head-mounted regular camera. The envisaged outcomes are dense, non-rigid, and collaborative structure-from-motion theories, as well as a working prototype producing live fullbody animations leveraging new applications in the IT industry. Highly strategically relevant examples are given by 3D tele-presence, enhanced tele-operation, robotics, and intelligent transportation systems.

During my time in Australia, I served as an Associate Investigator within the Australian Research Council Centre of Excellence for Robotic Vision. The ability to see is the remaining technological road-block to the ubiquitous deployment of robots into society. The​ Centre of Excellence for Robotic Vision plays a key role in overcoming this roadblock. It develops the underlying science and technologies that will enable robots to see, to understand their environment using the sense of vision, and to perform useful tasks in the complex, unstructured and dynamically changing environments in which we live and work. The centre has been funded for $25.6M over the next 7 years.

 

Webpage: http://roboticvision.org