Organizer's workshop page

Room: Timanfaya

Over the last decade, autonomous driving has become a hot topic both in academia and industry. This workshop fosters discussion on this topic amongst leading experts in this field: What are the challenges to be addressed for fully autonomous driving in general situations? What are the difficulties in perception, navigation, decision making and AI and how can we overcome them? Which techniques are most promising? Which is the most promising route to autonomous driving? Is autonomous driving an AI complete problem? Which sensors are needed and how can we overcome challenging weather conditions and tackle rare events? When will autonomous cars be ready?
09:30- 10:00 Teaching a Car to Drive Larry Jackel, NVIDIA

10:00- 10:30 Efficient Algorithms for Safe Motion Planning Subramanian Ramamoorthy, University of Edinburgh / Five.AI

10:30- 11:00 Coffee

11:00- 11:30 How to satisfy the Thirst for Data? Andreas Geiger, University of Tübingen / MPI-IS

11:30- 12:00 Driving Autonomy - Learning to Perceive and to Act Ingmar Posner, Oxford / Oxbotica

12:00- 12:30 Map Data at Scale from Images Contributed by Anyone Peter Kontschieder, Mapillary

12:30- 13:00 How to avoid the “Winter of Autonomous Driving”? Amnon Shashua, Mobileye / Intel

13:00- 14:00 Lunch

15:00- 15:30 Learning to Drive Vladlen Koltun, Intel

15:30- 16:00 Motion Estimation: Energy-based models, deep learning, and something in between Stefan Roth, University of Darmstadt

16:00- 16:30 Safe Learning-Based Control for Autonomous Driving and the aUToronto Self-Driving Competition Team (via Skype) Angela Schoellig, University of Toronto