Friedrich Fraundorfer, Graz University of Technology
AI and computer vision for autonomous drones and robots
January 28th, 2020, 3:00 pm CET
Room: Science Park Building 3, Room 063
Drones are small scale flying robots and it is predicted that the drone market as well as the general robotics market will see a major growth in the near future. AI and computer vision will play a major role in shaping the future autonomous drones. In my talk I will give an overview of the use of AI and computer vision techniques in robotics and for drones in particular. I will then follow up by presenting developments in this area done in my lab, which will include the topics of 3D mapping, localization, path planning and environment interpretation.
About the Speaker:
Friedrich Fraundorfer is Assistant Professor at Graz University of Technology, Austria since October 2014. He received the Ph.D. degree in computer science from TU Graz, Austria in 2006 working at the Institute of Computer Graphics and Vision headed by Franz Leberl and Horst Bischof. He had post-doc stays at the University of Kentucky (US), at the University of North Carolina at Chapel Hill (US) and at ETH Zürich (Switzerland). From 2012 to 2014 he acted as Deputy Director of the Chair of Remote Sensing Technology at the Faculty of Civil, Geo and Environmental Engineering at the Technische Universität München.
Friedrich Fraundorfer has been involved in multiple international and multinational research projects as project leader, investigator and collaborator, the EU project SFly (http://www.sfly.org/), a 4-year SNFproject about autonomous micro UAV’s, the EU project VCHARGE (http://www.v-charge.eu/). Currently he acts as PI for the H2020 project SLIM (http://www.slim-project.eu/) and RESIST and as project leader for various industry collaborations. His main research areas are 3D Computer Vision and its use for robotics using modern machine learning techniques. He is the author of a well perceived two-part tutorial about visual odometry in the IEEE Robotics and Automation Magazine. https://www.tugraz.at/institute/icg/research/team-fraundorfer/