Robots, Autonomous Vehicles and Deep Learning

Biography

Zhou Xing has completed his PhD degree in Particle Physics with his thesis focusing on large scale statistical data analysis, utilizing neural network methodologies on various analysis projects at LHCb experiment at CERN. He has joined Stanford Linear Accelerator Center (SLAC) National Laboratory as Engineering Physicist/Faculty and Staff, working on data acquisition and analysis. He has also joined a leading China EV company, NIO, where he specializes on a few deep-learning driven fields related to applications of autonomous driving, including supervised learning for semantic segmentations/road segmentations, moving object detections, trajectory prediction using optical camera as well as LIDAR measurements, reinforcement learning of continuous control, policy-based semi-model controlled reinforcement learning methods, etc.

Abstract

Abstract : Predictions of short-term driving intention using recurrent neural network on sequential data