About the event
Autonomous driving is one of the greatest challenges of our times. Big companies, researchers, and designers of modern cities are drawn towards autonomous vehicles. In this presentation, we’ll initially go through the basic principles that apply in each stage of autonomous driving and then we’ll have a look at NVIDIA’s autonomous driving model. By using Udacity’s open-source simulator as a guide, we will describe the stages of training an autonomous driving system, while applying the deep neural network architecture as proposed by NVIDIA.
About the speaker
Athanasios Balafoutis studied Electrical and Computer Engineering at the Democritus University of Thrace. He has a Master’s and a Ph.D degree in Artificial Intelligence. He is also a member of the research team of the Space Science Lab in D.U.Th., the Robotics team in the University of Aegean, the Hellenic Artificial Intelligence Society, and the Technical Chamber of Greece. He has over 20 scientific publications in international journals and conferences, while also participating in the organizing and judging committee in several of those. He started getting involved with educational robotics in 2012, having participated in the panhellenic competitions of WRO Hellas ever since. He was the coach of the student robotics team of Xanthi’s 1st General Lyceum when they won the silver medal in the Robotics Olympiad in Qatar in 2015 and the 4th place in the Robotics Olympiad in India in 2016. He is currently a member of the scientific committee that designs the challenges of the Panhellenic Educational Robotics Competition.
Registration
The talk will take place on May 16 at 6 p.m. via Zoom.
You can register below.
