Sim-to-Real: Using Simulations for 3D Perception and Navigation

Dr. Ruigang Yang
Baidu Research

Thursday, Feb 28, 2019
11 AM - 12 PM
EB 3105

Abstract:
The importance for simulations, in both robotics and more recently autonomous driving, has been more and more recognized. In this talk, I will talk the fairly extensive line of simulation research at Baidu’s Robotics and Autonomous Driving Lab (RAL), from low-level sensor simulation, such as LIDAR, to high-level behavior simulation, such as drivers/pedestrians. These different simulations tools are designed to either produce an abundant amount of annotated data to train deep neural network, or directly provide an end-to-end environment to test all aspects of robots/autonomous vehicles movement capabilities.

Biography:
Ruigang Yang is currently Chief Scientist for 3D Vision at Baidu Research. He leads the Robotics and Autonomous Driving Lab (RAL). Before joining Baidu, he is a full professor of Computer Science at the University of Kentucky. He obtained his PhD degree from University of North Carolina at Chapel Hill and his MS degree from Columbia University. His research interests span over computer graphics and computer vision, in particular in 3D reconstruction and 3D data analysis. He has published over 100 papers, which, according to Google Scholar, has received over 10000 citations with an h-index of 48 (as of 2017). He has received a number of awards, including US NSF Career award in 2004 and the University of Kentucky’s Dean’s Research Award in 2013. He is currently an associate editor of IEEE TPAMI and a senior member of IEEE.

Host:
Dr. Xiaoming Liu