CARLA: On Open Source Simulation for Autonomous Driving

We have rescheduled the meeting to September.

German Ros, Senior Research Scientist, Intel Intelligent Systems Lab

Details subject to change
7:30 pm Doors open for snacks and networking
8:00 pm Announcements and presentation

Abstract:
CARLA is an open-source simulator aiming to foster research and development of new autonomous driving agents. The community built around CARLA focuses on tackling driving-related problems, such as learning driving policies using reinforcement learning RL, imitation learning IL, perception, domain adaptation and system validation. In this talk, we cover the main use cases CARLA is designed for. We present how CARLA has been used within the research community in the last year and what results has CARLA enabled. We will also cover the new CARLA Autonomous Driving Challenge, an online competition that is testing the boundaries of AV systems in complex urban scenes.
http://carla.org and https://carlachallenge.org

Bio:
German Ros is a Sr. Research Scientist at Intel Intelligent Systems Lab, working on topics at the intersection of Machine Learning, Simulation, Virtual worlds, Transfer Learning, and Intelligent Autonomous systems. He also leads the CARLA organization as part of the Open Source Vision Foundation and serves as a product manager of the Open3D organization. Before joining Intel Labs, German served as a Research Scientist at Toyota Research Institute (TRI), where he conducted research in the area of Simulation for Autonomous Driving, Scene Understanding and Domain Adaptation, in the context of Autonomous Driving. Part of his previous work includes the SYNTHIA dataset and the exploitation of synthetic data in the context of training autonomous driving systems. German Ros obtained his Ph.D. in Computer Science at Autonomous University of Barcelona & the Computer Vision Center (2016).
https://germanros.net

Details may change base on venue.
A $5 donation is suggested for food. All attendees must be registered; registration closes at noon the day of the event. Badges will be pre-printed for all those who have supplied both their first and last names, and will receive priority entry. There will be a limited number of entries available by registering at the door.